Triple
T20048528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plains of Junín |
E499127
|
entity |
| Predicate | battleOutcomeAtLocation |
P19109
|
FINISHED |
| Object | Patriot victory |
—
|
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: Patriot victory | Statement: [Plains of Junín, battleOutcomeAtLocation, Patriot victory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battleOutcomeAtLocation Context triple: [Plains of Junín, battleOutcomeAtLocation, Patriot victory]
-
A.
battleOccurredNear
Indicates that a battle took place in spatial proximity to a specified location or entity.
-
B.
battleOccurred
Indicates that a conflict or combat event took place between specified parties at a particular time and/or location.
-
C.
battleOccurredOn
Indicates that a specific battle took place at or on a particular location or date.
-
D.
battleTypeAtSite
Indicates the specific type or category of battle that occurred at a given site.
-
E.
resultOfBattle
chosen
Indicates that one entity is the outcome or consequence produced by a specific battle or combat event involving another entity.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632c085081908710cbc939ac9971 |
completed | April 20, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:37 p.m.