Triple

T13626224
Position Surface form Disambiguated ID Type / Status
Subject Ramla Subdistrict (British Mandate period) E325589 entity
Predicate hasPopulationComposition P101331 FINISHED
Object Arab majority 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: Arab majority | Statement: [Ramla Subdistrict (British Mandate period), hasPopulationComposition, Arab majority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPopulationComposition
Context triple: [Ramla Subdistrict (British Mandate period), hasPopulationComposition, Arab majority]
  • A. racialComposition
    Indicates the proportional makeup of different racial groups within a given population or entity.
  • B. hasPopulationType
    Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
  • C. hadPopulationType
    Indicates that an entity possessed a particular classification or type of population during a given time or context.
  • D. hasPopulationGrouping chosen
    Indicates a relationship where an entity is associated with a specific categorization or grouping of its population (e.g., by size, type, or demographic characteristics).
  • E. hasReligiousComposition
    Indicates that an entity is characterized by or associated with a particular religious makeup, affiliation, or set of religious components.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69dbbe85e1c4819095194f4b7f9f6118 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:51 p.m.