Triple

T9310782
Position Surface form Disambiguated ID Type / Status
Subject Siege of Bethar E224000 entity
Predicate location P40 FINISHED
Object Bethar E223999 NE 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: Bethar | Statement: [Siege of Bethar, location, Bethar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethar
Context triple: [Siege of Bethar, location, Bethar]
  • A. Bethar chosen
    Bethar was an ancient fortified town in Judea, best known as the last stronghold of the Bar Kokhba revolt against the Roman Empire.
  • B. Banias
    Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
  • C. Banias
    Banias are a traditional Indian merchant and trading community historically associated with commerce, moneylending, and often with Vaishya caste status.
  • D. Yavneh
    Yavneh is an ancient Jewish center of learning in the Land of Israel that became a key hub for rabbinic scholarship and religious reorganization after the destruction of the Second Temple.
  • E. Beit Hanina
    Beit Hanina is a Palestinian neighborhood in northern East Jerusalem, known as a primarily residential area with a mix of urban development and traditional community life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ac17488190aa6acf7a61420632 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c78dfd80819099ab75df01016319 completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:37 p.m.