Triple
T4314595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute-Garonne |
E94156
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tournefeuille |
E85343
|
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: Tournefeuille | Statement: [Haute-Garonne, contains, Tournefeuille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tournefeuille Context triple: [Haute-Garonne, contains, Tournefeuille]
-
A.
Tournefeuille
chosen
Tournefeuille is a suburban town in southwestern France, located near Toulouse in the Occitanie region.
-
B.
Stade Roland Garros
Stade Roland Garros is a famous Parisian tennis complex best known as the venue for the French Open, one of the four Grand Slam tournaments.
-
C.
French Open
The French Open is one of tennis's four major Grand Slam tournaments, renowned for its clay courts and held annually at Roland Garros in Paris.
-
D.
Yamate Museum of Tennis
The Yamate Museum of Tennis is a specialized museum in Yokohama, Japan, dedicated to the history and culture of tennis, particularly its early development in the country.
-
E.
Wimbledon
Wimbledon is a district in southwest London best known for hosting the prestigious annual Wimbledon tennis championships, the oldest tennis tournament in the world.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f4448481908be2c7df9cc71bb9 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d08245408190b1ce584c636bf168 |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:12 p.m.