Triple
T17497051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrol estuary |
E426090
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Rías Altas |
—
|
NE NERFINISHED |
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: Rías Altas | Statement: [Ferrol estuary, partOf, Rías Altas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rías Altas Context triple: [Ferrol estuary, partOf, Rías Altas]
-
A.
Rías Altas
chosen
Rías Altas is a rugged coastal area in northwestern Spain known for its dramatic cliffs, Atlantic beaches, and traditional fishing towns.
-
B.
Bahía de Loreto
Bahía de Loreto is a protected marine area and coastal bay in Baja California Sur, Mexico, renowned for its rich biodiversity, scenic islands, and opportunities for ecotourism and marine recreation.
-
C.
Ría Celestún
Ría Celestún is a coastal biosphere reserve in Mexico renowned for its mangroves, rich birdlife, and large flamingo populations.
-
D.
Bahía de Tenacatita
Bahía de Tenacatita is a scenic bay on Mexico’s Pacific coast known for its tranquil beaches, clear waters, and popular snorkeling and ecotourism activities.
-
E.
Bahía Maguey
Bahía Maguey is a scenic beach bay in the Huatulco region of Oaxaca, Mexico, known for its calm waters, seafood restaurants, and boat tours.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520e9c8c8190aa955766bc915d26 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.