Triple
T24628344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile–Argentina relations |
E609602
|
entity |
| Predicate | includeHistoricalConflict |
P120570
|
FINISHED |
| Object | Beagle conflict |
—
|
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: Beagle conflict | Statement: [Chile–Argentina relations, includeHistoricalConflict, Beagle conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includeHistoricalConflict Context triple: [Chile–Argentina relations, includeHistoricalConflict, Beagle conflict]
-
A.
linkedToHistoricalConflict
Indicates that one entity has a documented association or connection with a past historical conflict involving another entity.
-
B.
hasHistoricalPeriodOfConflict
Indicates that there exists a specific historical period during which the related entities were engaged in conflict or hostilities.
-
C.
partOfHistoricalConflict
chosen
Indicates that one entity participated in, belonged to, or was involved as a component of a larger historical conflict or war.
-
D.
conflictHistory
Indicates a history of conflict or antagonistic interactions that have occurred between the related entities.
-
E.
opponentInHistoricalConflict
Indicates that two entities stood on opposing sides in a specific historical conflict or war.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.