Triple
T6607746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beagle conflict |
E149159
|
entity |
| Predicate | argentinaReactionToAward |
P72411
|
FINISHED |
| Object | rejected arbitration award in 1978 |
—
|
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: rejected arbitration award in 1978 | Statement: [Beagle conflict, argentinaReactionToAward, rejected arbitration award in 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: argentinaReactionToAward Context triple: [Beagle conflict, argentinaReactionToAward, rejected arbitration award in 1978]
-
A.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
winnerCountry
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
C.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
D.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
E.
awardResult
Indicates the outcome or status of an award process, linking an award event to its final decision or result.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cf3683d08190b19e2aad30f2800f |
completed | March 27, 2026, 6:40 p.m. |
Created at: March 27, 2026, 1:57 p.m.