Triple
T5526756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puteaux Group |
E144939
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Puteaux |
E197331
|
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: Puteaux | Statement: [Puteaux Group, location, Puteaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puteaux Context triple: [Puteaux Group, location, Puteaux]
-
A.
Puteaux
chosen
Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
-
B.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
-
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.
Colombes
Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
-
E.
Boulogne-Billancourt
Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8a34a48190bcbd0036f79246a9 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9a53a44e48190bddf0f4faec136e7 |
completed | March 29, 2026, 10:18 p.m. |
Created at: March 22, 2026, 3:34 p.m.