Triple
T8953850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porte de Pantin |
E213422
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Zénith Paris |
E730851
|
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: Zénith Paris | Statement: [Porte de Pantin, nearbyPlace, Zénith Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zénith Paris Context triple: [Porte de Pantin, nearbyPlace, Zénith Paris]
-
A.
Zénith Paris
chosen
Zénith Paris is a major indoor concert and events arena in Paris known for hosting large-scale music performances and cultural shows.
-
B.
Zenith
Zenith is a global media agency network specializing in media planning and buying, operating as part of the French advertising and communications conglomerate Publicis Groupe.
-
C.
Zenith
Zenith is a Swiss luxury watch manufacturer renowned for its high-precision mechanical movements and chronographs.
-
D.
Éclat
Éclat is a 1965 chamber work by Pierre Boulez that explores shimmering timbres, intricate textures, and flexible time through a distinctive ensemble of piano and selected instruments.
-
E.
Haroche
Haroche is a French surname most notably associated with Nobel Prize–winning physicist Serge Haroche.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6724f3e4819092c6b13d80871e80 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc210302c8190b1c062fcbcfeb0f6 |
completed | April 3, 2026, 1:35 p.m. |
Created at: March 30, 2026, 7 p.m.