Triple
T15643202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiping Island |
E376114
|
entity |
| Predicate | wasPreviouslyOccupiedBy |
P7727
|
FINISHED |
| Object | Japan during World War II |
—
|
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: Japan during World War II | Statement: [Taiping Island, wasPreviouslyOccupiedBy, Japan during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPreviouslyOccupiedBy Context triple: [Taiping Island, wasPreviouslyOccupiedBy, Japan during World War II]
-
A.
formerOccupant
chosen
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
B.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
C.
occupiesFormerBuilding
Indicates that one entity is currently using or located in a building that was previously used or occupied by another entity.
-
D.
firstOccupiedBy
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
-
E.
wasPartiallyOccupiedBy
Indicates that an entity was, for a limited extent or portion of its space or duration, occupied or taken up by another entity.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.