Triple
T28458846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiang Tung region of Myanmar |
E716794
|
entity |
| Predicate | wasUnderInfluenceOf |
P126359
|
FINISHED |
| Object | Siam |
—
|
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: Siam | Statement: [Chiang Tung region of Myanmar, wasUnderInfluenceOf, Siam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasUnderInfluenceOf Context triple: [Chiang Tung region of Myanmar, wasUnderInfluenceOf, Siam]
-
A.
isUnderInfluenceOf
chosen
Indicates that one entity is affected, controlled, or significantly shaped by the power, authority, or effect of another entity.
-
B.
signedUnderInfluenceOf
Indicates that a signing action was carried out while the signer was under the influence of a specified substance or external factor.
-
C.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
-
D.
brokeredUnderInfluenceOf
Indicates that an agreement, deal, or arrangement was brokered while one or more involved parties were under the influence of another party or factor that significantly affected their decision-making.
-
E.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ea3ff048190b6e0ca0fd79c8f30 |
completed | May 2, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:56 a.m.