Triple

T3976897
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Judah E85664 entity
Predicate hasMajorCity P316 FINISHED
Object Mizpah E329054 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: Mizpah | Statement: [Kingdom of Judah, hasMajorCity, Mizpah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mizpah
Context triple: [Kingdom of Judah, hasMajorCity, Mizpah]
  • A. Mizpah chosen
    Mizpah is an ancient biblical site in Gilead known as the place where Jacob and Laban formalized their covenant before parting ways.
  • B. Anathoth
    Anathoth is an ancient Levitical town in the territory of Benjamin, mentioned in the Hebrew Bible and traditionally associated with the prophet Jeremiah.
  • 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. 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.
  • E. Libnah
    Libnah was a woman of the royal family of Judah, known primarily as the wife of King Josiah and the mother of King Zedekiah.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b876d8819082f4b81c9699913a completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5401ac15481908ab86c8ef48ce413 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.