Triple

T18282422
Position Surface form Disambiguated ID Type / Status
Subject Christogram IHS E437894 entity
Predicate hasVariant P455 FINISHED
Object JHS NE NERFINISHED

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: JHS | Statement: [Christogram IHS, hasVariant, JHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JHS
Context triple: [Christogram IHS, hasVariant, JHS]
  • A. JHS
    JHS is the station code for Jhansi Junction, a major railway hub in Uttar Pradesh, India, serving as an important stop on several key routes of the Indian Railways network.
  • B. JHS chosen
    JHS is a traditional Christogram representing the name of Jesus, commonly used in Christian symbolism and liturgy.
  • C. Reading Junior High School
    Reading Junior High School is a public middle-level campus in the Lamar Consolidated Independent School District that serves students from the Greatwood community in Texas.
  • D. George Junior High School
    George Junior High School is a public middle-level school serving students in the Springdale Public Schools district in Springdale, Arkansas.
  • E. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50057c5c881909fcda72f4a98c8c3 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:35 a.m.