Triple
T9083585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cogua |
E217693
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Sopó |
E40022
|
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: Sopó | Statement: [Cogua, borderedBy, Sopó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sopó Context triple: [Cogua, borderedBy, Sopó]
-
A.
Sopó
chosen
Sopó is a small municipality in the department of Cundinamarca, Colombia, known for its scenic Andean landscapes and dairy production.
-
B.
Ogáxpa
Ogáxpa is the traditional name used by the Quapaw people to refer to themselves or their community in their own language.
-
C.
Sipacapa
Sipacapa is a highland municipality in the San Marcos department of western Guatemala, known for its predominantly Sipakapense Maya population and traditional indigenous culture.
-
D.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
-
E.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02ffa9fb88190ab088be46b566ae8 |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:13 p.m.