Triple
T25178172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changez |
E630507
|
entity |
| Predicate | allegianceConflict |
P52638
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Changez, allegianceConflict, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegianceConflict Context triple: [Changez, allegianceConflict, United States]
-
A.
allegiance
Indicates a relationship where one entity is loyal, committed, or obligated in support or service to another entity.
-
B.
opponentForceAllegiance
chosen
Indicates that one force, group, or individual is aligned with or belongs to an opposing or enemy side in a conflict or competition.
-
C.
hadAllegiance
Indicates that an entity was loyally committed or formally bound in support or service to another entity, such as a person, group, or cause.
-
D.
namedForAllegiance
Indicates that an entity is named in reference to, or in honor of, a particular allegiance, affiliation, or loyalty.
-
E.
stateAllegiance
Indicates that one entity formally declares loyalty or support to another entity, such as a person, group, or state.
- F. None of above.
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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105cbe333c8190ac41fb2110f2032b |
completed | May 22, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 12:35 p.m.