Triple

T4607868
Position Surface form Disambiguated ID Type / Status
Subject Samuel E100480 entity
Predicate associatedWith P37 FINISHED
Object Ramah E344848 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: Ramah | Statement: [Samuel, associatedWith, Ramah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramah
Context triple: [Samuel, associatedWith, Ramah]
  • A. Ramah chosen
    Ramah is an ancient town in the central highlands of Israel, frequently mentioned in the Hebrew Bible for its strategic location and association with several key prophetic and historical events.
  • B. Kfar Nahum
    Kfar Nahum is the modern Israeli site identified with the ancient fishing village of Capernaum on the northwestern shore of the Sea of Galilee, known for its significant New Testament associations.
  • C. 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.
  • D. 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.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599debdc81909d11d0e871c666bb completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa789cdc8190add02a5970f9a0b6 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.