Triple
T12675859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarn |
E302809
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gaillac |
E161072
|
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: Gaillac | Statement: [Tarn, contains, Gaillac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaillac Context triple: [Tarn, contains, Gaillac]
-
A.
Gaillac
chosen
Gaillac is a historic town in southern France renowned for its long-established wine production and picturesque setting along the Tarn River.
-
B.
Blagnac
Blagnac is a suburban town near Toulouse in southwestern France, best known for hosting the headquarters and main facilities of the aircraft manufacturer Airbus.
-
C.
Villefranche-de-Rouergue
Villefranche-de-Rouergue is a historic bastide town in southern France known for its medieval architecture and picturesque setting on the Aveyron River.
-
D.
Villefranche-de-Lauragais
Villefranche-de-Lauragais is a small commune in the Haute-Garonne department in southwestern France, known for its traditional Lauragais countryside and proximity to the Canal du Midi.
-
E.
Ribérac
Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a53c03248190bd16ebaed9958815 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:20 p.m.