Triple
T22877819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesian electorate |
E567373
|
entity |
| Predicate | votingLocation |
P110737
|
FINISHED |
| Object | polling stations (TPS) |
—
|
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: polling stations (TPS) | Statement: [Indonesian electorate, votingLocation, polling stations (TPS)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingLocation Context triple: [Indonesian electorate, votingLocation, polling stations (TPS)]
-
A.
locationOfPolling
chosen
Indicates the place where a polling or voting event is held or conducted.
-
B.
votingRegion
Indicates the geographic or administrative area in which an entity is eligible or authorized to vote.
-
C.
votingUnit
Indicates a relationship where an entity functions as a unit or body that casts votes or participates in a voting process.
-
D.
electoralCountLocation
Indicates the place or jurisdiction in which an electoral vote count or tally is conducted or recorded.
-
E.
placeOfElection
Indicates the location where an election or voting event took place.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5966c08190a9ded9b19b166112 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:39 p.m.