Triple
T27139973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRETILIN |
E681788
|
entity |
| Predicate | electionResult2001 |
P182390
|
FINISHED |
| Object | largest party in Constituent Assembly |
—
|
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: largest party in Constituent Assembly | Statement: [FRETILIN, electionResult2001, largest party in Constituent Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionResult2001 Context triple: [FRETILIN, electionResult2001, largest party in Constituent Assembly]
-
A.
resultIn2002Election
Indicates the outcome or consequence that occurred specifically in relation to the 2002 election.
-
B.
electoralVoteOutcome
Indicates the result of an election in terms of how electoral votes are allocated or distributed among candidates or options.
-
C.
electionResult2010
Indicates the outcome or status of an election that took place in the year 2010.
-
D.
electionOutcomeForCandidate
Indicates the result or status of an election as it pertains specifically to a given candidate.
-
E.
presidentialWinnerTicket
Indicates that a political ticket (a set of running mates) is the winning ticket in a presidential election.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f78d7211a48190bfb59c406f0bf12f |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c6014e08190864785a4fe3e8e73 |
completed | May 3, 2026, 5:56 p.m. |
Created at: April 27, 2026, 9:08 a.m.