Triple
T1196149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayabeque Province |
E25671
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Quivicán |
E27912
|
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: Quivicán | Statement: [Mayabeque Province, hasMunicipality, Quivicán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quivicán Context triple: [Mayabeque Province, hasMunicipality, Quivicán]
-
A.
Quivicán
chosen
Quivicán is a municipality in western Cuba known for its agricultural activities and location within the province surrounding Havana.
-
B.
Valle de la Trinidad
Valle de la Trinidad is a region in northern Baja California, Mexico, known as part of the ancestral homeland of the Indigenous Kiliwa people.
-
C.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
D.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
E.
Barranco
Barranco is a bohemian coastal district of Lima, Peru, known for its vibrant arts scene, nightlife, and colorful colonial-era architecture.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd7a756c819085d695acfffeaceb |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f383a1c8190932e4b200fec02b5 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:46 p.m.