Triple
T1387035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycée Henri-IV |
E29868
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Collège Sainte-Barbe |
E53023
|
NE 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: Collège Sainte-Barbe | Statement: [Lycée Henri-IV, near, Collège Sainte-Barbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collège Sainte-Barbe Context triple: [Lycée Henri-IV, near, Collège Sainte-Barbe]
-
A.
Collège Sainte-Barbe
chosen
Collège Sainte-Barbe is a historic Parisian educational institution renowned for having educated prominent figures such as engineer Gustave Eiffel.
-
B.
Collège Saint-Pierre
Collège Saint-Pierre is a prominent Catholic educational institution in Haiti affiliated with the Diocese of Haiti.
-
C.
École Sainte-Croix
École Sainte-Croix is a Catholic educational institution in Haiti affiliated with the Diocese of Haiti.
-
D.
Collège de la Marche
Collège de la Marche was a notable Parisian college of the University of Paris, known for educating prominent Enlightenment-era scholars and intellectuals.
-
E.
Collège Bourbon
Collège Bourbon was a prestigious secondary school in Aix-en-Provence, France, known for educating notable 19th-century figures such as the writer Émile Zola.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c33b6e108190b6b2bca4ddd97b6c |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace56bf6c48190839a9d01c935e4bf |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:59 p.m.