Triple
T15366253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Venezuela |
E367420
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Cabimas |
E645391
|
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: Cabimas | Statement: [Western Venezuela, hasCity, Cabimas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabimas Context triple: [Western Venezuela, hasCity, Cabimas]
-
A.
Cabimas
chosen
Cabimas is an oil-producing city in northwestern Venezuela located on the eastern shore of Lake Maracaibo.
-
B.
Kayabacho
Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
-
C.
Camba
Camba is a Spanish term referring to an ethnocultural group from the lowland eastern regions of Bolivia, particularly around Santa Cruz.
-
D.
Kayamandi
Kayamandi is a predominantly Black township on the outskirts of Stellenbosch in South Africa, known for its vibrant community life and history rooted in apartheid-era urban planning.
-
E.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
- 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.