Triple
T10180674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auber |
E235972
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Rue Auber |
E586903
|
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: Rue Auber | Statement: [Auber, namedAfter, Rue Auber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue Auber Context triple: [Auber, namedAfter, Rue Auber]
-
A.
Rue Auber
chosen
Rue Auber is a central Parisian street in the 9th arrondissement, known for its Haussmannian architecture and proximity to the Opéra Garnier and major shopping areas.
-
B.
Rue du Faubourg-Saint-Antoine
Rue du Faubourg-Saint-Antoine is a historic and traditionally working-class street in eastern Paris, known for its furniture-making workshops and role in several French revolutionary events.
-
C.
Rue Santeuil
Rue Santeuil is a street in Nantes, France, known for hosting the historic Passage Pommeraye shopping arcade.
-
D.
Rue de Maubeuge
Rue de Maubeuge is a street in Paris, France, known for its proximity to major railway stations like Gare du Nord and its typical Haussmann-era urban architecture.
-
E.
Rue Feydeau
Rue Feydeau is a street in central Paris, France, historically notable for hosting the prominent Théâtre Feydeau.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded315f14819085727bd9b4363d10 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0ce0a508190a2f44cbe812b5f17 |
completed | May 3, 2026, 3:28 a.m. |
Created at: March 30, 2026, 9:11 p.m.