Triple
T2710399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enewetak Atoll |
E59844
|
entity |
| Predicate | partialResettlement |
P28515
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Enewetak Atoll, partialResettlement, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partialResettlement Context triple: [Enewetak Atoll, partialResettlement, 1980]
-
A.
majorResettlementArea
chosen
Indicates that a location serves as a primary or significant destination area where people are being resettled.
-
B.
relocated
Indicates that an entity has moved or been moved from one location or position to another.
-
C.
civilianDisplacement
Indicates the forced or compelled movement of civilian populations from their homes or usual places of residence, typically due to conflict, violence, or persecution.
-
D.
displacedBy
Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
-
E.
residenceAfterFlood
Indicates that an entity’s place of residence is the one occupied after a flood event has occurred.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7771a4819081904bd6b818b81b |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.