Triple
T377530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimon Peres |
E8603
|
entity |
| Predicate | movedToMandatoryPalestine |
P195
|
FINISHED |
| Object | 1934 |
—
|
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: 1934 | Statement: [Shimon Peres, movedToMandatoryPalestine, 1934]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movedToMandatoryPalestine Context triple: [Shimon Peres, movedToMandatoryPalestine, 1934]
-
A.
immigratedTo
chosen
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
B.
countryLiberated
Indicates that one country has freed another country from occupation, control, or oppression, restoring its independence or autonomy.
-
C.
relocatedTo
Indicates that an entity has moved or been transferred from its previous location to a new specified location.
-
D.
relocatedFrom
Indicates that an entity has moved or been transferred away from a specified original location.
-
E.
relocatedToWashingtonYear
Indicates the year in which an entity moved or was transferred to Washington as its new location.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1804108190a1e94526b71289ea |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96351cc8190a55adf95f8c27e9e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.