Triple
T11818317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macuspana |
E281059
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Macuspana |
E281059
|
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: Macuspana | Statement: [Macuspana, hasMunicipalSeat, Macuspana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macuspana Context triple: [Macuspana, hasMunicipalSeat, Macuspana]
-
A.
Macuspana
chosen
Macuspana is a significant urban center and municipality in the Mexican state of Tabasco, known for its role in the region’s political and economic life.
-
B.
Cajidiocan
Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
-
C.
Camajuaní
Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
-
D.
Catemaco
Catemaco is a lakeside town in Veracruz, Mexico, famed for its lush rainforest setting, ecotourism, and long-standing reputation as a center of witchcraft and spiritual rituals.
-
E.
Yucuna
Yucuna are an Indigenous people of the Colombian and Brazilian Amazon, known for their Arawakan language, traditional riverine livelihoods, and rich ritual and cosmological traditions.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e760988190b50d13bba5ef5b43 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16705cc888190b84537bd3cfbe1c2 |
completed | April 29, 2026, 2:03 a.m. |
Created at: April 8, 2026, 9:42 p.m.