Triple
T185040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borneo territories of the British Empire |
E3961
|
entity |
| Predicate | postwarProcess |
P4106
|
FINISHED |
| Object | decolonization in Southeast Asia |
—
|
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: decolonization in Southeast Asia | Statement: [Borneo territories of the British Empire, postwarProcess, decolonization in Southeast Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postwarProcess Context triple: [Borneo territories of the British Empire, postwarProcess, decolonization in Southeast Asia]
-
A.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
B.
after
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
C.
statusAfter1956
Indicates the status or condition of an entity as it existed at any time after the year 1956.
-
D.
partOfProcess
chosen
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
E.
economicTransition
Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592867108190b5d316c055575449 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566fb08c81908faff2fde552105d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.