Triple
T8880083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro line 7bis |
E211386
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object | Pré Saint‑Gervais |
E564955
|
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: Pré Saint‑Gervais | Statement: [Paris Métro line 7bis, hasTerminus, Pré Saint‑Gervais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pré Saint‑Gervais Context triple: [Paris Métro line 7bis, hasTerminus, Pré Saint‑Gervais]
-
A.
Le Pré-Saint-Gervais
chosen
Le Pré-Saint-Gervais is a small suburban commune in the northeastern outskirts of Paris, France.
-
B.
Beaugrenelle
Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
-
C.
Clignancourt
Clignancourt is a northern Paris neighborhood known for its proximity to Montmartre and its famous flea market at Saint-Ouen.
-
D.
Charonne
Charonne is a Paris Métro station in the 11th arrondissement, known for serving a residential neighborhood and for its proximity to the site of the 1962 Charonne Massacre.
-
E.
Saint-Priest
Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61677c9c8190aa09dc2a05d4cf95 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabc1992481909e8a4216086d5111 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:52 p.m.