Triple
T22431410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seridó Oriental microregion |
E554507
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Cruzeta |
—
|
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: Cruzeta | Statement: [Seridó Oriental microregion, hasMunicipality, Cruzeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cruzeta Context triple: [Seridó Oriental microregion, hasMunicipality, Cruzeta]
-
A.
Cruzeta
chosen
Cruzeta is a small municipality in the state of Rio Grande do Norte in Brazil’s Central Potiguar region, known for its semi-arid climate and rural economy.
-
B.
Campanilla
Campanilla is a barrio (district) of the municipality of Toa Baja in Puerto Rico, functioning as one of its local residential and administrative communities.
-
C.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
D.
Juncal
Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
-
E.
Cruzcampo
Cruzcampo is a popular Spanish beer brand known for its Andalusian origins and wide distribution throughout Spain.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a32139481909baaf9275f5e0257 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.