Triple
T14225828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawnee warriors |
E352614
|
entity |
| Predicate | facedOutcome |
P59870
|
FINISHED |
| Object | defeat in key battles against the United States |
—
|
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: defeat in key battles against the United States | Statement: [Shawnee warriors, facedOutcome, defeat in key battles against the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facedOutcome Context triple: [Shawnee warriors, facedOutcome, defeat in key battles against the United States]
-
A.
outcomeOf
chosen
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
B.
opposedOutcome
Indicates that one entity’s outcome is in conflict with, counters, or works against the outcome associated with another entity.
-
C.
initialOutcome
Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
-
D.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
-
E.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6228e53c8190abbe4e2d88a7362a |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.