Triple
T25083340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haiti–Dominican Republic border |
E628243
|
entity |
| Predicate | languageOnEastSide |
P109219
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Haiti–Dominican Republic border, languageOnEastSide, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOnEastSide Context triple: [Haiti–Dominican Republic border, languageOnEastSide, Spanish]
-
A.
languageOnWestSide
Indicates that a particular language is used or present on the west side of a specified area or reference point.
-
B.
hasLanguageOnEasternSide
chosen
Indicates that a specified language is used or spoken on the eastern side of a given area, boundary, or region.
-
C.
languageOnBothSides
Indicates that the same language is used or present on both sides of a given relationship, boundary, or comparison.
-
D.
directionEastSide
Indicates that one entity is located on or oriented toward the eastern side of another entity.
-
E.
easternSideState
Indicates that a state or region is located on, or corresponds to, the eastern side of a specified reference area or boundary.
- F. None of above.
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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 18, 2026, 6:22 a.m.