Triple
T15366229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Venezuela |
E367420
|
entity |
| Predicate | includesState |
P285
|
FINISHED |
| Object | Falcón |
E1148784
|
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: Falcón | Statement: [Western Venezuela, includesState, Falcón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falcón Context triple: [Western Venezuela, includesState, Falcón]
-
A.
Falcón
chosen
Falcón is a coastal state in northwestern Venezuela known for its desert landscapes, beaches, and the Médanos de Coro National Park.
-
B.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
C.
Vásquez
Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
-
D.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
E.
Aparicio
Aparicio is a Spanish-language surname borne by various notable individuals across fields such as film, sports, and politics.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4e968c8190a16824ee3ede13b2 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.