Triple
T4184471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aude |
E88276
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Tarn |
E62457
|
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: Tarn | Statement: [Aude, borders, Tarn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarn Context triple: [Aude, borders, Tarn]
-
A.
Tarn River
chosen
The Tarn River is a major river in southern France known for its dramatic gorges, scenic valleys, and role as a tributary of the Garonne.
-
B.
Weald
Weald is a historically significant, densely wooded region in southeastern England known for its rolling hills, ancient forests, and traditional rural landscapes.
-
C.
Meon Valley
Meon Valley is a rural river valley in Hampshire, England, known for its picturesque landscapes, historic villages, and walking routes such as the Meon Valley Trail.
-
D.
Afan Valley
Afan Valley is a scenic former coal-mining valley in South Wales, now known for its forests, mountain biking trails, and outdoor recreation.
-
E.
Tarn Gorges
Tarn Gorges is a dramatic limestone canyon in southern France, renowned for its steep cliffs, scenic river landscapes, and popular outdoor activities like kayaking and hiking.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589fe4b508190a1c5a1d426245ede |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:45 p.m.