Triple
T7455391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arauca Department |
E172108
|
entity |
| Predicate | borderTypeWithVenezuela |
P77013
|
FINISHED |
| Object | land border |
—
|
LITERAL 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: land border | Statement: [Arauca Department, borderTypeWithVenezuela, land border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderTypeWithVenezuela Context triple: [Arauca Department, borderTypeWithVenezuela, land border]
-
A.
borderTypeWithSpain
Indicates the type or nature of the border that an entity shares with Spain.
-
B.
countryBorderType
Indicates the type or nature of the border relationship that exists between two countries.
-
C.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
D.
borderTypeWithYemen
Indicates the type or nature of the border that exists between a given entity and Yemen.
-
E.
borderTypeWithItaly
Indicates the type or nature of the border that an entity shares with Italy.
- F. None of above. chosen
Provenance (4 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3af58dc819093fb0482482779a3 |
completed | March 27, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:15 p.m.