Triple
T21167962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Urdaneta |
E521616
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Zulia |
—
|
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: Zulia | Statement: [Rafael Urdaneta, region, Zulia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zulia Context triple: [Rafael Urdaneta, region, Zulia]
-
A.
Zulia
chosen
Zulia is a state in northwestern Venezuela known for its oil-rich region around Lake Maracaibo and its significant role in the country’s economic and historical development.
-
B.
Zulia State
Zulia State is a resource-rich region in northwestern Venezuela, known for its oil industry, Lake Maracaibo, and cultural distinctiveness.
-
C.
Falcón state
Falcón state is a coastal region in northwestern Venezuela known for its colonial architecture, arid landscapes, and significant Afro-Venezuelan cultural presence.
-
D.
Bolívar State
Bolívar State is a vast, mineral-rich region in southeastern Venezuela known for its dramatic landscapes, including the Guiana Highlands and the world’s highest uninterrupted waterfall, Angel Falls.
-
E.
Cojedes State
Cojedes State is a small inland state in central Venezuela known for its agricultural economy and cattle ranching.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72710c73881908d41aedff8984da9 |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.