Triple
T15880142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiers River |
E385053
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Mont-Saint-Martin |
E302005
|
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: Mont-Saint-Martin | Statement: [Chiers River, flowsNear, Mont-Saint-Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont-Saint-Martin Context triple: [Chiers River, flowsNear, Mont-Saint-Martin]
-
A.
Mont-Saint-Martin
chosen
Mont-Saint-Martin is a commune in northeastern France notable for lying at the junction of the French, Belgian, and Luxembourgish borders.
-
B.
Dammartin-en-Goële
Dammartin-en-Goële is a commune in the Seine-et-Marne department in the Île-de-France region in north-central France, known for its historic town center and proximity to Paris–Charles de Gaulle Airport.
-
C.
Villiers-le-Bel
Villiers-le-Bel is a suburban commune in the northern outskirts of Paris, located in the Val-d'Oise department in Île-de-France, France.
-
D.
Villemomble
Villemomble is a suburban commune in the eastern outskirts of Paris, France, known for its residential character and proximity to the capital.
-
E.
Cazeneuve-Montaut
Cazeneuve-Montaut is a small commune in the Haute-Garonne department in southwestern France.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15600863c8190a2dbfd6d7ff495d7 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec1091c8190a8e4c4db6180129a |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:51 a.m.