Triple

T15725147
Position Surface form Disambiguated ID Type / Status
Subject Gamla E381200 entity
Predicate synagogueDate P119936 FINISHED
Object late 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: late Second Temple period | Statement: [Gamla, synagogueDate, late Second Temple period]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: synagogueDate
Context triple: [Gamla, synagogueDate, late Second Temple period]
  • A. mainSynagogue
    Indicates that one entity serves as the primary or principal synagogue associated with another entity (such as a place, community, or organization).
  • B. hasSynagogueType
    Indicates the specific classification or type of synagogue associated with an entity.
  • C. hasSynagogueHistory
    Indicates that there exists a historical relationship or record connecting an entity to a synagogue, such as past ownership, use, events, or significance.
  • D. hasSynagogueUnion
    Indicates that there exists an organizational or formal union connecting one synagogue with another synagogue or group of synagogues.
  • E. mainSynagogueDestroyedIn
    Indicates that the primary synagogue associated with an entity was destroyed in the specified event, time period, or location.
  • F. None of above. chosen

Provenance (4 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb357a88190a92641c8a8c20573 completed April 16, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69e00526759c819088b80d85138b8974 completed April 15, 2026, 9:37 p.m.
PDg Predicate description generation batch_69e0094af5b481908ad51d5d7ba0c726 completed April 15, 2026, 9:55 p.m.
Created at: April 10, 2026, 4:46 a.m.