Triple
T16751034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade Bollaert-Delelis |
E407076
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
Tribune Delacourt
Tribune Delacourt is a spectator stand at the Stade Bollaert-Delelis football stadium in Lens, France.
|
E1232114
|
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: Tribune Delacourt | Statement: [Stade Bollaert-Delelis, hasStand, Tribune Delacourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tribune Delacourt Context triple: [Stade Bollaert-Delelis, hasStand, Tribune Delacourt]
-
A.
Gourette
Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
-
B.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
C.
Tribune Henri-Point
Tribune Henri-Point is a spectator stand at the Stade Geoffroy-Guichard football stadium in Saint-Étienne, France.
-
D.
Lisberg
Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
-
E.
Arlois
Arlois are the inhabitants or natives of Arlay, sharing its cultural and regional identity.
- 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: Tribune Delacourt Triple: [Stade Bollaert-Delelis, hasStand, Tribune Delacourt]
Generated description
Tribune Delacourt is a spectator stand at the Stade Bollaert-Delelis football stadium in Lens, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tribune Delacourt Target entity description: Tribune Delacourt is a spectator stand at the Stade Bollaert-Delelis football stadium in Lens, France.
-
A.
Gourette
Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
-
B.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
C.
Tribune Henri-Point
Tribune Henri-Point is a spectator stand at the Stade Geoffroy-Guichard football stadium in Saint-Étienne, France.
-
D.
Lisberg
Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
-
E.
Arlois
Arlois are the inhabitants or natives of Arlay, sharing its cultural and regional identity.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52402848190b029cb0be31b4c74 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5c4e934819088db49d81be154c3 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6b84d288190aeccb06745146b80 |
completed | May 10, 2026, 3:39 p.m. |
Created at: April 10, 2026, 5:21 a.m.