Triple
T1615172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Palma |
E34699
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Breña Baja |
E165640
|
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: Breña Baja | Statement: [La Palma, hasMunicipality, Breña Baja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breña Baja Context triple: [La Palma, hasMunicipality, Breña Baja]
-
A.
Breña Baja
chosen
Breña Baja is a coastal municipality on the eastern side of La Palma in Spain’s Canary Islands, known for its tourism, banana plantations, and proximity to the island’s main airport.
-
B.
Breña Alta
Breña Alta is a municipality on the island of La Palma in Spain’s Canary Islands, known for its rural landscapes and proximity to the island’s main airport.
-
C.
Aguadas
Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
-
D.
La Yesca
La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
-
E.
San Juan de Rioseco
San Juan de Rioseco is a small municipality and town located in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9098f384c81909ef836ee779466e2 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71a348788190ae6b8d0b4f10559b |
completed | March 8, 2026, 12:54 p.m. |
Created at: March 4, 2026, 7:28 p.m.