Triple
T13093588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliquippa (Seneca woman) |
E310523
|
entity |
| Predicate | roleInWarOrConflict |
P108011
|
FINISHED |
| Object | British ally and regional Indigenous leader |
—
|
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: British ally and regional Indigenous leader | Statement: [Aliquippa (Seneca woman), roleInWarOrConflict, British ally and regional Indigenous leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWarOrConflict Context triple: [Aliquippa (Seneca woman), roleInWarOrConflict, British ally and regional Indigenous leader]
-
A.
strategicRoleDuringWar
Indicates that an entity served a particular strategic function or importance during a specific war or armed conflict.
-
B.
worldWarIIRole
Indicates the specific role, position, or function an entity had in relation to World War II.
-
C.
roleInWorldWarI
Indicates the specific function, position, or involvement an entity had during World War I.
-
D.
militaryConflictIn
Indicates that a military conflict takes place within, or is geographically located in, a specified area or region.
-
E.
roleDuringColdWar
Indicates the specific position, function, or involvement an entity had in the context of the Cold War period.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813cd1b881909871a318fdd60672 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98114a6508190b1e8e018bb5a068c |
completed | April 10, 2026, 11 p.m. |
Created at: April 9, 2026, 9:03 p.m.