Triple

T3007084
Position Surface form Disambiguated ID Type / Status
Subject The Farthest Mosque E81927 entity
Predicate primaryInterpretation P44616 FINISHED
Object identified with the sanctuary in Jerusalem 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: identified with the sanctuary in Jerusalem | Statement: [The Farthest Mosque, primaryInterpretation, identified with the sanctuary in Jerusalem]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryInterpretation
Context triple: [The Farthest Mosque, primaryInterpretation, identified with the sanctuary in Jerusalem]
  • A. primarySense
    Indicates that one sense or meaning of an entity is designated as its main or most central sense among possible alternatives.
  • B. primaryTone
    Indicates the main or dominant emotional or stylistic quality characterizing something, in contrast to any secondary or supporting tones.
  • C. primaryFront
    Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
  • D. primaryInput
    Indicates that an entity serves as the main or principal input to a process, system, or operation.
  • E. primaryDirection
    Indicates the main or dominant directional orientation associated with an entity or relation.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4a12508190a48ae1c86233d25e completed March 8, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69ad96180eb08190a524c5f458d41382 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97f6af3881909f4547967384114c completed March 8, 2026, 3:38 p.m.
Created at: March 8, 2026, 3 p.m.