Triple
T239311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cundinamarca Department |
E4892
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Soacha |
E32519
|
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: Soacha | Statement: [Cundinamarca Department, contains, Soacha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soacha Context triple: [Cundinamarca Department, contains, Soacha]
-
A.
Soacha
chosen
Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
-
B.
Cajicá
Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
-
C.
Suesca
Suesca is a Colombian town in the department of Cundinamarca, renowned for its dramatic rock cliffs that make it a popular destination for rock climbing and outdoor recreation.
-
D.
Anapoima
Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
-
E.
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.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25ceaecdc81909e9ff49cb6a4e02a |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cfe386d081908877b35b38bac0f5 |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.