Triple

T4079187
Position Surface form Disambiguated ID Type / Status
Subject Tribe of Benjamin E87435 entity
Predicate territoryIncludes P285 FINISHED
Object Gibeah E68812 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: Gibeah | Statement: [Tribe of Benjamin, territoryIncludes, Gibeah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gibeah
Context triple: [Tribe of Benjamin, territoryIncludes, Gibeah]
  • A. Gibeah chosen
    Gibeah was an ancient Israelite city in the territory of Benjamin, historically notable as the royal seat of King Saul.
  • B. Kedesh
    Kedesh was an ancient city in the territory of the Israelite tribe of Naphtali, known as a Levitical city of refuge in the Hebrew Bible.
  • C. Shechem
    Shechem was an important ancient city in the central highlands of Canaan, serving as a significant political and religious center in biblical times.
  • D. Anathoth
    Anathoth is an ancient Levitical town in the territory of Benjamin, mentioned in the Hebrew Bible and traditionally associated with the prophet Jeremiah.
  • E. Givat Shaul
    Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc4e95b08190bd1ee8f6d3a9613c completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c0ecb48190b3def058eaf49dd3 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.