Triple
T28740810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Askar refugee camp |
E731232
|
entity |
| Predicate | hasUNRWAFieldOffice |
P9395
|
FINISHED |
| Object | West Bank Field |
—
|
NE NERFINISHED |
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: West Bank Field | Statement: [Askar refugee camp, hasUNRWAFieldOffice, West Bank Field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUNRWAFieldOffice Context triple: [Askar refugee camp, hasUNRWAFieldOffice, West Bank Field]
-
A.
placesUnderUNAdministration
Indicates that one entity assigns another entity to be governed, supervised, or managed under the authority of the United Nations.
-
B.
hasRefugeeCamp
Indicates that a location or entity hosts, contains, or is the site of a refugee camp.
-
C.
hadExileOfficesIn
Indicates that an entity maintained official offices or administrative presence in a specified location while in exile.
-
D.
hasInternationalOrganizationOffice
chosen
Indicates that an international organization maintains an official office or physical presence at a given location.
-
E.
hasSupportingOffice
Indicates that an entity is associated with or served by a particular office that provides support or administrative services to it.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 6:02 a.m.