Triple
T7750330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savanna railway |
E175741
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Cajicá |
E36561
|
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: Cajicá | Statement: [Savanna railway, connectsTo, Cajicá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cajicá Context triple: [Savanna railway, connectsTo, Cajicá]
-
A.
Cajicá
chosen
Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
-
B.
Villapinzón
Villapinzón is a Colombian town and municipality in the department of Cundinamarca, known for its leather industry and location in the Andean highlands.
-
C.
Sogamoso
Sogamoso is a Colombian city in the Andean region known historically as a major religious and cultural center of the Muisca civilization and today for its industry and mining.
-
D.
Fusagasugá
Fusagasugá is a Colombian city in the department of Cundinamarca, known for its mild climate, flower cultivation, and role as an important commercial and agricultural center near Bogotá.
-
E.
Babahoyo
Babahoyo is a city in western Ecuador that serves as the capital of Los Ríos Province and an important agricultural and commercial center.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b264c0819095c37534a676531d |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c902b3308c8190ae9a8705087d2e8d |
completed | March 29, 2026, 10:45 a.m. |
Created at: March 27, 2026, 4:08 p.m.