Triple
T22885178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guaros de Lara |
E567583
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Barquisimeto |
—
|
NE NERFINISHED |
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: Barquisimeto | Statement: [Guaros de Lara, homeCity, Barquisimeto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barquisimeto Context triple: [Guaros de Lara, homeCity, Barquisimeto]
-
A.
Barquisimeto
chosen
Barquisimeto is a major city in western Venezuela known as a commercial and cultural center, often called the "Musical City" for its rich musical traditions.
-
B.
Maracay
Maracay is a major industrial and commercial city in north-central Venezuela and the capital of Aragua state.
-
C.
Maracaibo
Maracaibo is a major Venezuelan city known as an important oil-producing and commercial center located on the western shore of Lake Maracaibo.
-
D.
Los Teques
Los Teques is a prominent Venezuelan city that serves as the capital of Miranda state and forms part of the greater Caracas metropolitan area.
-
E.
Puerto Cabello
Puerto Cabello is a major port city on Venezuela’s Caribbean coast, historically important for trade and naval activity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc0cdb081908107d40069d9735f |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.