Triple
T11477530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caylloma Province |
E272060
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Maca |
E510188
|
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: Maca | Statement: [Caylloma Province, hasSettlement, Maca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maca Context triple: [Caylloma Province, hasSettlement, Maca]
-
A.
Maca
chosen
Maca is a small traditional Andean village in southern Peru, known for its colonial church, terraced landscapes, and proximity to the scenic Colca Canyon.
-
B.
Chía
Chía is a municipality in the department of Cundinamarca, Colombia, known for its rapid urban growth and proximity to the capital city, Bogotá.
-
C.
Amaranto
Amaranto is the traditional maroon-colored nickname associated with Italian football club Reggina 1914 and its supporters.
-
D.
Quillaja
Quillaja is a genus of flowering trees known for their saponin-rich bark, commonly used as a natural soap and foaming agent.
-
E.
Anamirta
Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294e0fe08190b018e840146e27ca |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e970743c8190a5be4d59d1b941d6 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 8, 2026, 9:36 p.m.