Triple
T26714934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosnia and Herzegovina–Montenegro border |
E673523
|
entity |
| Predicate | hasDisputesStatus |
P23974
|
FINISHED |
| Object | generally undisputed |
—
|
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: generally undisputed | Statement: [Bosnia and Herzegovina–Montenegro border, hasDisputesStatus, generally undisputed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisputesStatus Context triple: [Bosnia and Herzegovina–Montenegro border, hasDisputesStatus, generally undisputed]
-
A.
hasDisputedStatus
chosen
Indicates that the status or classification of something is contested, uncertain, or not universally agreed upon.
-
B.
hasDisputedStatusWith
Indicates that there is a contested or unresolved status, claim, or standing between the related entities.
-
C.
hasDisputeWith
Indicates that there is a conflict, disagreement, or contested issue between two entities.
-
D.
hasDisputeHistory
Indicates that there has been at least one prior dispute or conflict involving the related entities.
-
E.
hasDisputeType
Indicates that an entity is associated with a particular category or type of dispute.
- 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 27, 2026, 3:37 a.m.