Triple
T8089089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Departamento de Casanare |
E188808
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Recetor |
E658157
|
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: Recetor | Statement: [Departamento de Casanare, hasMunicipality, Recetor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recetor Context triple: [Departamento de Casanare, hasMunicipality, Recetor]
-
A.
Recetor
chosen
Recetor is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural and livestock-based economy.
-
B.
Arpoador
Arpoador is a famous rocky peninsula and beach area in Rio de Janeiro, Brazil, renowned for its surfing waves and sunset views over the ocean.
-
C.
Cassibile
Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
-
D.
Baldeo
Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
-
E.
Rastar
Rastar was an American film and television production company known for producing notable movies and TV series from the 1970s through the 1990s.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421c717c819089dd88c30a6401aa |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640a42648190bc1a3072eb338e22 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.