Triple
T14416185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway T6 |
E357458
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Châtillon – Montrouge |
E635945
|
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: Châtillon – Montrouge | Statement: [Tramway T6, terminus, Châtillon – Montrouge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Châtillon – Montrouge Context triple: [Tramway T6, terminus, Châtillon – Montrouge]
-
A.
Châtillon–Montrouge
chosen
Châtillon–Montrouge is a Paris Métro station in the southern suburbs of Paris that serves as a key transport hub and interchange on the network.
-
B.
Marolles
Marolles is a historic working-class neighborhood in central Brussels known for its vibrant flea market, antique shops, and lively street culture.
-
C.
Créteil–L’Échat
Créteil–L’Échat is a Paris Métro station in the southeastern suburb of Créteil, serving as part of the Line 8 extension beyond central Paris.
-
D.
Clichy
Clichy is a suburban commune in the northwestern outskirts of Paris, France, known for its dense urban character and role as a residential and business hub.
-
E.
Montrouge
Montrouge is a suburban commune just south of Paris, France, known for its dense urban character and proximity to the capital.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc79c088190b6fd2984515976d7 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:17 a.m.