Triple

T13820293
Position Surface form Disambiguated ID Type / Status
Subject Pool of Siloam E332115 entity
Predicate nearbySite P350 FINISHED
Object Ophel E402261 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: Ophel | Statement: [Pool of Siloam, nearbySite, Ophel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ophel
Context triple: [Pool of Siloam, nearbySite, Ophel]
  • A. Moresheth
    Moresheth is an ancient town in the Judean lowlands, traditionally identified as the hometown of the biblical prophet Micah.
  • B. Phaeo
    Phaeo is a lesser-known figure in Greek mythology, identified as a daughter of the Titan Atlas.
  • C. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • D. Moriah chosen
    Moriah is a biblical region traditionally associated with the site where Abraham was to sacrifice Isaac and later with the location of the Temple in Jerusalem.
  • E. Kiphire
    Kiphire is a town and administrative district headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and proximity to Mount Saramati.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e41f448190baabfd06d78b45b7 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.