Triple
T4109064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 13 |
E88523
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Gennevilliers |
E390388
|
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: Gennevilliers | Statement: [Paris Métro Line 13, serves, Gennevilliers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gennevilliers Context triple: [Paris Métro Line 13, serves, Gennevilliers]
-
A.
Gennevilliers
chosen
Gennevilliers is a suburban commune in the northwestern outskirts of Paris, France, known for its large industrial and port areas along the Seine.
-
B.
Cormeilles-en-Parisis
Cormeilles-en-Parisis is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and views over the Seine valley.
-
C.
Rueil-Malmaison
Rueil-Malmaison is a suburban commune in the western outskirts of Paris, France, known for its residential character, historical sites, and role as a base for major corporate headquarters.
-
D.
Puteaux
Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
-
E.
Bobigny
Bobigny is a northeastern suburb of Paris that serves as an administrative and transport hub within the Île-de-France region.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01da2b88819088a45401c0ec743a |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c787e303108190ab14b67c338b1377 |
completed | March 28, 2026, 7:48 a.m. |
Created at: March 9, 2026, 3:40 p.m.