Triple
T1688472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosquera |
E36495
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Bojacá |
E167588
|
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: Bojacá | Statement: [Mosquera, borderedBy, Bojacá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bojacá Context triple: [Mosquera, borderedBy, Bojacá]
-
A.
Bojacá
chosen
Bojacá is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the country's capital.
-
B.
Vračar
Vračar is a central urban municipality of Belgrade, Serbia, known for its cultural landmarks, dense urban fabric, and historical significance.
-
C.
Armata del Po
Armata del Po was a major field army formation of the Royal Italian Army, active primarily during World War II and named after the Po River region in northern Italy.
-
D.
Pobeda
Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
-
E.
Strijen
Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6296655c8190835ec0d20f7460ca |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7992792081909af4312ae8a448a2 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.