Triple
T29826520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 Myanmar general election |
E757394
|
entity |
| Predicate | NLDSeatsWon |
P167645
|
FINISHED |
| Object | 392 |
—
|
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: 392 | Statement: [1990 Myanmar general election, NLDSeatsWon, 392]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NLDSeatsWon Context triple: [1990 Myanmar general election, NLDSeatsWon, 392]
-
A.
sdlpSeatsWon
Indicates the number of seats won by the SDLP in an election or legislative body.
-
B.
numberOfSeatsWon
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
C.
ndpSeatsWon
Indicates the number of parliamentary seats won by the New Democratic Party (NDP) in an election.
-
D.
citizensSeatsWon
Indicates the number of legislative or representative seats won by citizens (or citizen-backed entities) in an election or governing body.
-
E.
seatsWonByNational Union
Indicates the number of legislative or electoral seats that were won by the National Union in a given election or contest.
- 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_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. |
| PDg | Predicate description generation | batch_69f66bd123108190b451eb6e23842adb |
completed | May 2, 2026, 9:25 p.m. |
Created at: April 29, 2026, 5:32 p.m.