Triple
T29826562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Myanmar by-elections |
E757395
|
entity |
| Predicate | seatWonByAungSanSuuKyi |
P59395
|
FINISHED |
| Object | Kawhmu Township constituency |
—
|
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: Kawhmu Township constituency | Statement: [2012 Myanmar by-elections, seatWonByAungSanSuuKyi, Kawhmu Township constituency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatWonByAungSanSuuKyi Context triple: [2012 Myanmar by-elections, seatWonByAungSanSuuKyi, Kawhmu Township constituency]
-
A.
seatGrantedBy
Indicates that a position, seat, or place (e.g., in a body or venue) is conferred or allocated to someone or something by a specific granting authority or entity.
-
B.
seatWinner
chosen
Indicates that a particular candidate or party has won a specific seat (e.g., in an election or contest).
-
C.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
D.
seatOwnedBy
Indicates that a particular seat is possessed or held in ownership by a specific entity.
-
E.
seatSince
Indicates that an entity has held a particular seat, position, or place continuously since a specified point in time.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67598dff081908ff0ec79a48b55ec |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:32 p.m.