Triple
T7897746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NgRx |
E183376
|
entity |
| Predicate | coreConcept |
P533
|
FINISHED |
| Object |
Store
Store is the central NgRx state container that holds application state and enables reactive, unidirectional data flow in Angular applications.
|
E696491
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Store | Statement: [NgRx, coreConcept, Store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Store Context triple: [NgRx, coreConcept, Store]
-
A.
Store Bay
Store Bay is a popular beach and tourist hub on the island of Tobago, known for its calm waters, local food stalls, and easy access to nearby attractions like Buccoo Reef.
-
B.
Stash
Stash is a U.S.-based fintech company that offers an app for simplified investing, banking, and financial education for everyday consumers.
-
C.
Bond Store
Bond Store is a historic waterfront building in Hobart, Tasmania, now used as part of the Tasmanian Museum and Art Gallery’s exhibition and gallery spaces.
-
D.
Sky Store
Sky Store is a digital video-on-demand and movie purchase/rental service operated by the British media and telecommunications company Sky in the UK and Ireland.
-
E.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Store Triple: [NgRx, coreConcept, Store]
Generated description
Store is the central NgRx state container that holds application state and enables reactive, unidirectional data flow in Angular applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Store Target entity description: Store is the central NgRx state container that holds application state and enables reactive, unidirectional data flow in Angular applications.
-
A.
Store Bay
Store Bay is a popular beach and tourist hub on the island of Tobago, known for its calm waters, local food stalls, and easy access to nearby attractions like Buccoo Reef.
-
B.
Stash
Stash is a U.S.-based fintech company that offers an app for simplified investing, banking, and financial education for everyday consumers.
-
C.
Bond Store
Bond Store is a historic waterfront building in Hobart, Tasmania, now used as part of the Tasmanian Museum and Art Gallery’s exhibition and gallery spaces.
-
D.
Sky Store
Sky Store is a digital video-on-demand and movie purchase/rental service operated by the British media and telecommunications company Sky in the UK and Ireland.
-
E.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb719a08190a0545a361f559bf7 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1f864c819086d3a2b04061ead0 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76aede388190a56e066c3302c35e |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:01 p.m.