Triple
T34183847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Azza |
E876901
|
entity |
| Predicate | refugeeOrigin |
P47614
|
FINISHED |
| Object | localities in historic Palestine |
—
|
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: localities in historic Palestine | Statement: [Al-Azza, refugeeOrigin, localities in historic Palestine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refugeeOrigin Context triple: [Al-Azza, refugeeOrigin, localities in historic Palestine]
-
A.
originalRefugeeOrigin
chosen
Indicates the place or country from which a refugee initially fled or was displaced.
-
B.
refugeeOriginEvent
Indicates an event or circumstance that caused or is associated with a person or group becoming refugees and leaving their place of origin.
-
C.
wasRefugee
Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
-
D.
countryOfEmigration
Indicates the country from which a person or group has emigrated or moved away.
-
E.
countryOfAsylum
Indicates that one entity serves as the country providing asylum or refuge to 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:55 a.m.