Triple
T13175301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidasoa |
E313082
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object | Bidassoa |
E635479
|
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: Bidassoa | Statement: [Bidasoa, hasNameInFrench, Bidassoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bidassoa Context triple: [Bidasoa, hasNameInFrench, Bidassoa]
-
A.
Bidassoa
chosen
Bidassoa is a river in the western Pyrenees that forms part of the border between France and Spain before flowing into the Bay of Biscay.
-
B.
Antsirabe
Antsirabe is a highland city in central Madagascar known for its cool climate, thermal springs, and colonial-era architecture.
-
C.
Anjara
Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
-
D.
Belo-sur-Tsiribihina
Belo-sur-Tsiribihina is a small town in western Madagascar that serves as a common gateway for river trips and access to the nearby Tsingy de Bemaraha National Park.
-
E.
Sofifi
Sofifi is a small coastal town on Halmahera Island in eastern Indonesia that serves as the administrative center of North Maluku Province.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c303e3c819086cf0f0b6d9e61ca |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafe03c48190992df41f77fb043e |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:14 p.m.