Triple
T26552413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocotepeque Department |
E671712
|
entity |
| Predicate | sharesTrinationalAreaWith |
P182382
|
FINISHED |
| Object | El Salvador |
—
|
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: El Salvador | Statement: [Ocotepeque Department, sharesTrinationalAreaWith, El Salvador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesTrinationalAreaWith Context triple: [Ocotepeque Department, sharesTrinationalAreaWith, El Salvador]
-
A.
sharesInternationalBorderWith
Indicates that two geographic or political entities have a common boundary that is recognized as an international border.
-
B.
hasEconomicRegionAlongBorder
Indicates that two entities share a border along which a defined economic region or zone exists or is recognized.
-
C.
geographicallyAdjacentTo
Indicates that two geographic entities share a common boundary or are directly next to each other in space.
-
D.
geographicallyBorders
Indicates that two geographic entities share a common boundary or border.
-
E.
borderingAuthorityOf
Indicates that one authority’s jurisdiction directly touches or shares a boundary with another authority’s jurisdiction.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f78d7211a48190bfb59c406f0bf12f |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c6014e08190864785a4fe3e8e73 |
completed | May 3, 2026, 5:56 p.m. |
Created at: April 27, 2026, 1:48 a.m.