Triple
T12714957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blegny |
E303812
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Saive
Saive is a village in the municipality of Blegny in the province of Liège, Belgium.
|
E997908
|
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: Saive | Statement: [Blegny, hasPart, Saive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saive Context triple: [Blegny, hasPart, Saive]
-
A.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
B.
Saavik
Saavik is a half-Vulcan, half-Romulan Starfleet officer from the Star Trek franchise, known for her calm logic, strong sense of duty, and key role alongside Admiral Kirk and Spock in the film series.
-
C.
Suvar
Suvar was an important medieval town and trading center in Volga Bulgaria, serving as one of the region’s key political and economic hubs.
-
D.
Joutsa
Joutsa is a small rural municipality in central Finland known for its lakes, forests, and outdoor recreation.
-
E.
Sauvo
Sauvo is a small rural municipality in southwestern Finland known for its scenic countryside, agriculture, and historic churches.
- 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: Saive Triple: [Blegny, hasPart, Saive]
Generated description
Saive is a village in the municipality of Blegny in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saive Target entity description: Saive is a village in the municipality of Blegny in the province of Liège, Belgium.
-
A.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
B.
Saavik
Saavik is a half-Vulcan, half-Romulan Starfleet officer from the Star Trek franchise, known for her calm logic, strong sense of duty, and key role alongside Admiral Kirk and Spock in the film series.
-
C.
Suvar
Suvar was an important medieval town and trading center in Volga Bulgaria, serving as one of the region’s key political and economic hubs.
-
D.
Joutsa
Joutsa is a small rural municipality in central Finland known for its lakes, forests, and outdoor recreation.
-
E.
Sauvo
Sauvo is a small rural municipality in southwestern Finland known for its scenic countryside, agriculture, and historic churches.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620a7554819083784897ff690652 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671bad5108190915d14c3ec3d2e27 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67286f1b8819081db3da2f5c16daf |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6732ea7408190a95f0a5f983dfdb7 |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:23 p.m.