Triple
T12595697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muysca |
E300724
|
entity |
| Predicate | capitalCity |
P204
|
FINISHED |
| Object | Bacatá |
E753187
|
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: Bacatá | Statement: [Muysca, capitalCity, Bacatá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacatá Context triple: [Muysca, capitalCity, Bacatá]
-
A.
Bejucal
Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
-
B.
Aracataca
Aracataca is a town in northern Colombia best known as the birthplace of Nobel laureate Gabriel García Márquez and the real-life inspiration for the fictional village of Macondo in his novel "One Hundred Years of Solitude."
-
C.
Mochó
Mochó is an indigenous Mayan language spoken by a small community in Chiapas, Mexico, and considered highly endangered.
-
D.
La Vega
chosen
La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
-
E.
Gurabo
Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cf33b88190bff339fcd3142cc8 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec49af881908abb948567b82b74 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:08 p.m.