Triple
T7673442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fretilin |
E173800
|
entity |
| Predicate | statusDuringIndonesianOccupation |
P78846
|
FINISHED |
| Object | main pro-independence political force |
—
|
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: main pro-independence political force | Statement: [Fretilin, statusDuringIndonesianOccupation, main pro-independence political force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusDuringIndonesianOccupation Context triple: [Fretilin, statusDuringIndonesianOccupation, main pro-independence political force]
-
A.
JapaneseOccupationStart
Indicates the point in time when a Japanese occupation of a place or population begins.
-
B.
wasUnderJapaneseControlUntil
Indicates that an entity was governed, occupied, or administered by Japan up to a specified end date or time period.
-
C.
administrativeStatusDuringJapaneseRule
Indicates the administrative status or classification an entity held under Japanese colonial rule during the specified period.
-
D.
timeOfSubjugation
Indicates the point in time at which one entity becomes subjugated or brought under the control of another.
-
E.
statusOfIndonesia
Indicates the current condition, situation, or standing associated with Indonesia in a given context.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7048a01508190bc2e9ae8b863486c |
completed | March 27, 2026, 10:28 p.m. |
Created at: March 27, 2026, 4 p.m.