Triple

T836125
Position Surface form Disambiguated ID Type / Status
Subject Lydda E18071 entity
Predicate ancientPopulation P3032 FINISHED
Object Jewish community in Second Temple period 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: Jewish community in Second Temple period | Statement: [Lydda, ancientPopulation, Jewish community in Second Temple period]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ancientPopulation
Context triple: [Lydda, ancientPopulation, Jewish community in Second Temple period]
  • A. historicallyInhabitedBy chosen
    Indicates that a place or region was inhabited by a particular group or population during some period in the past.
  • B. foundingPopulation
    Indicates the population size or composition present at the time an entity (such as a settlement, organization, or species group) was originally founded or established.
  • C. hasPopulationApproximate
    Indicates that an entity has an estimated or approximate population size, rather than an exact count.
  • D. hasPopulationAsOf
    Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
  • E. demographicScope
    Indicates the specific population group or demographic segment to which something (e.g., a policy, study, product, or service) is targeted or applicable.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abce08348190b716e3ce5a638f99 completed March 1, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69a4aa7c7df881909c539c3ab8ff0367 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.