Triple
T16173270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estagel |
E392495
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Agly valley |
E395076
|
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: Agly valley | Statement: [Estagel, locatedIn, Agly valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agly valley Context triple: [Estagel, locatedIn, Agly valley]
-
A.
Agly valley
chosen
Agly valley is a scenic wine-producing valley in southern France, known for its rugged landscapes, vineyards, and the Agly River that runs through it.
-
B.
Valserine valley
Valserine valley is a scenic river valley in eastern France known for its gorges, waterfalls, and surrounding Jura mountain landscapes.
-
C.
Utror Valley
Utror Valley is a scenic mountainous valley in Pakistan’s Swat region, known for its lush green landscapes, rivers, and access to nearby alpine lakes and meadows.
-
D.
Vorma valley
Vorma valley is a river valley in southeastern Norway shaped by the Vorma River, known for its rural landscapes and small settlements.
-
E.
Loue valley
The Loue valley is a scenic river valley in eastern France known for its dramatic limestone cliffs, lush forests, and picturesque villages along the Loue River.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb88c948190a1d8b5518694ad53 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bfc3ac819082596cc533c5faa4 |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.