Triple
T26025353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allon Plan |
E647273
|
entity |
| Predicate | proposedDemographicPrinciple |
P58704
|
FINISHED |
| Object | retain areas with small Arab population |
—
|
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: retain areas with small Arab population | Statement: [Allon Plan, proposedDemographicPrinciple, retain areas with small Arab population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedDemographicPrinciple Context triple: [Allon Plan, proposedDemographicPrinciple, retain areas with small Arab population]
-
A.
demographicBasis
chosen
Indicates that something is determined, classified, or justified based on demographic characteristics such as age, gender, ethnicity, or similar population attributes.
-
B.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
C.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
D.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
E.
involvesDemographic
Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 22, 2026, 9:05 a.m.