Triple
T19351048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saban Building |
E484016
|
entity |
| Predicate | openedAsDepartmentStore |
P135532
|
FINISHED |
| Object | 1939 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1939 | Statement: [Saban Building, openedAsDepartmentStore, 1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsDepartmentStore Context triple: [Saban Building, openedAsDepartmentStore, 1939]
-
A.
openedFirstHypermarket
Indicates that the subject entity was the first to open a hypermarket for the object entity or within the context specified.
-
B.
opensShopTo
Indicates that one entity makes a shop accessible or available for another entity, typically by starting or unlocking its operation for them.
-
C.
closedAsStore
Indicates that an entity has ceased operations specifically in its role or function as a store.
-
D.
openedForIND
Indicates that an entity has been opened or made available specifically for an Investigational New Drug (IND) application or process.
-
E.
openedFirstBoutiqueIn
Indicates that an entity established its first boutique or retail store in a specified location.
- F. None of above. chosen
Provenance (4 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61904a878819084d58ed3b7d8a978 |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:34 p.m.