Triple

T10467589
Position Surface form Disambiguated ID Type / Status
Subject Beeban Kidron E246836 entity
Predicate familyName P18 FINISHED
Object Kidron E11378 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: Kidron | Statement: [Beeban Kidron, familyName, Kidron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kidron
Context triple: [Beeban Kidron, familyName, Kidron]
  • A. Kidron Valley chosen
    Kidron Valley is a historic ravine in Jerusalem that runs between the Old City and the Mount of Olives, featuring prominently in biblical tradition and archaeological remains.
  • B. Zevulun Valley
    Zevulun Valley is a fertile valley region in northern Israel, situated between the Carmel mountain range and the Lower Galilee near the city of Haifa.
  • C. Gihon Spring
    Gihon Spring is an ancient freshwater source in Jerusalem, historically vital as the city’s main water supply and central to its early settlement and defenses.
  • D. Ayalon Valley
    Ayalon Valley is a historically significant valley in central Israel, known as a strategic route and the site of numerous ancient battles.
  • E. Samaria stream
    Samaria stream is a mountain river running through the Samaria Gorge on the island of Crete, shaping its dramatic landscape and supporting its unique ecosystem.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.