Triple
T15220642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombia–Venezuela border region |
E363756
|
entity |
| Predicate | hasBorderState |
P4105
|
FINISHED |
| Object | Táchira State |
E665973
|
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: Táchira State | Statement: [Colombia–Venezuela border region, hasBorderState, Táchira State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Táchira State Context triple: [Colombia–Venezuela border region, hasBorderState, Táchira State]
-
A.
Táchira State
chosen
Táchira State is a western Venezuelan state in the Andes region, known for its mountainous terrain, agricultural production, and border with Colombia.
-
B.
Zulia State
Zulia State is a resource-rich region in northwestern Venezuela, known for its oil industry, Lake Maracaibo, and cultural distinctiveness.
-
C.
Guárico State
Guárico State is a central Venezuelan state characterized by vast plains (llanos), agriculture and cattle ranching, and a predominantly rural landscape.
-
D.
Cojedes State
Cojedes State is a small inland state in central Venezuela known for its agricultural economy and cattle ranching.
-
E.
Falcón state
Falcón state is a coastal region in northwestern Venezuela known for its colonial architecture, arid landscapes, and significant Afro-Venezuelan cultural presence.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007709d3881908384f0fe1e0218d0 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef687bdc819090ec8a4e1af9f422 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:12 a.m.