Triple
T31132767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seminole forces |
E793553
|
entity |
| Predicate | combatantOf |
P21502
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Seminole forces, combatantOf, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantOf Context triple: [Seminole forces, combatantOf, United States]
-
A.
combatantsIncluded
chosen
Indicates that the specified entities are participants or parties involved in a particular combat or conflict.
-
B.
combatantsNationality
Indicates that the entities involved in a combat or conflict share or are associated with a specified nationality.
-
C.
foughtAs
Indicates that an entity participated in a conflict or war in the capacity, role, or identity specified by another entity.
-
D.
warParticipatedIn
Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
-
E.
combatantGovernment
Indicates that a government is a direct participant or party in a conflict, war, or combat situation.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b967d5308190bbb66d0a8dd52612 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 29, 2026, 9:05 p.m.