Triple

T14960297
Position Surface form Disambiguated ID Type / Status
Subject Jeremiah of Libnah E373043 entity
Predicate residence P75 FINISHED
Object Libnah E1129840 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: Libnah | Statement: [Jeremiah of Libnah, residence, Libnah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libnah
Context triple: [Jeremiah of Libnah, residence, Libnah]
  • A. 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.
  • B. Libnah chosen
    Libnah was an ancient town in the Kingdom of Judah mentioned in the Hebrew Bible, notable as a Levitical city and a site of military and religious significance.
  • C. Yibna
    Yibna is a historic Palestinian town in the coastal plain of central Israel, known for its ancient roots and depopulation during the 1948 Arab–Israeli War.
  • D. Iscah
    Iscah is a minor biblical figure mentioned in the Book of Genesis, traditionally identified by some commentators with Sarai (Sarah), the wife of Abraham.
  • E. Riblah
    Riblah was an ancient town in Syria that served as a strategic military and administrative headquarters, notably used by the Babylonian king Nebuchadnezzar during the final conquest of Judah.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cece6881908cd8c8fe41583bee completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968f25e08190bfbf7a3541f79add completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:40 a.m.