Triple
T7516140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Zipaquirá |
E177648
|
entity |
| Predicate | hasParishesIn |
P2739
|
FINISHED |
| Object | Ubaté |
E33390
|
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: Ubaté | Statement: [Roman Catholic Diocese of Zipaquirá, hasParishesIn, Ubaté]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubaté Context triple: [Roman Catholic Diocese of Zipaquirá, hasParishesIn, Ubaté]
-
A.
Ubaté
chosen
Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
-
B.
Colomars
Colomars is a small commune in southeastern France situated in the hills northwest of Nice, known for its scenic Mediterranean landscape and proximity to the French Riviera.
-
C.
Ciudad Ojeda
Ciudad Ojeda is an oil-industry city in northwestern Venezuela, located on the eastern shore of Lake Maracaibo in Zulia state.
-
D.
Betancuria
Betancuria is a historic inland town and former capital of the Canary Island of Fuerteventura, known for its traditional architecture and rural charm.
-
E.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f595148190b36649b0095bb898 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ef834608190bf425f99222a4bc5 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:46 p.m.