Triple
T23238260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zulia |
E581362
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cabimas |
—
|
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: Cabimas | Statement: [Zulia, contains, Cabimas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabimas Context triple: [Zulia, contains, Cabimas]
-
A.
Cabimas
chosen
Cabimas is an oil-producing city in northwestern Venezuela located on the eastern shore of Lake Maracaibo.
-
B.
Juaboso
Juaboso is a prominent town in Ghana that serves as an important local center within the Western North Region.
-
C.
Kayabacho
Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
-
D.
Camba
Camba is a Spanish term referring to an ethnocultural group from the lowland eastern regions of Bolivia, particularly around Santa Cruz.
-
E.
Amaseno
Amaseno is a small Italian town located in the Lazio region, known for its agricultural traditions and scenic position in the Amaseno River valley.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ebaef4819083a7805537ad993f |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:09 p.m.