Triple
T2056053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauts-de-Seine |
E45676
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Nanterre |
E252395
|
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: Nanterre | Statement: [Hauts-de-Seine, capital, Nanterre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanterre Context triple: [Hauts-de-Seine, capital, Nanterre]
-
A.
Nanterre
chosen
Nanterre is a western suburb of Paris in the Hauts-de-Seine department of France, known as an important administrative and educational center.
-
B.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
-
C.
Trappes
Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
-
D.
Châtenay-Malabry
Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
-
E.
Bourg-la-Reine
Bourg-la-Reine is a residential suburb in the southern outskirts of Paris, France, known for its convenient commuter access to the capital and its quiet, small-town atmosphere.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9a9ce548190a5a3488fafb2e79e |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3544c5fcc8190b2d8d61449dfffb3 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 4, 2026, 7:40 p.m.