Triple
T2220646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethlehem Governorate |
E48131
|
entity |
| Predicate | hasRefugeeCamps |
P30108
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bethlehem Governorate, hasRefugeeCamps, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefugeeCamps Context triple: [Bethlehem Governorate, hasRefugeeCamps, true]
-
A.
hasRefugeeCamp
chosen
Indicates that a location or entity hosts, contains, or is the site of a refugee camp.
-
B.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
C.
majorResettlementArea
Indicates that a location serves as a primary or significant destination area where people are being resettled.
-
D.
displacedPeopleEstimate
Indicates an estimated number of people who have been forced to leave their homes or usual places of residence due to a particular event or situation.
-
E.
wasSiteOfInternmentCamps
Indicates that the subject location served as a site where internment camps were established and operated.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0156c8c819083e3e3b6ede1e951 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.