Triple

T23055667
Position Surface form Disambiguated ID Type / Status
Subject Memorial JK E574147 entity
Predicate shortName P43 FINISHED
Object Memorial JK 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: Memorial JK | Statement: [Memorial JK, shortName, Memorial JK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memorial JK
Context triple: [Memorial JK, shortName, Memorial JK]
  • A. Memorial JK chosen
    Memorial JK is a monumental museum and mausoleum in Brasília, Brazil, dedicated to preserving the legacy and honoring the memory of former president Juscelino Kubitschek.
  • B. Memorial Elementary School
    Memorial Elementary School is a public elementary school in Natick, Massachusetts, serving young students as part of the town’s Natick Public Schools district.
  • C. Memorial Middle School
    Memorial Middle School is a public middle school serving students in the coastal town of Hull, Massachusetts.
  • D. Memorial Middle School
    Memorial Middle School is a public middle school in the Houston-area suburbs that serves students from Bunker Hill Village, Texas, as part of the local independent school district.
  • E. Jacques Memorial Elementary School
    Jacques Memorial Elementary School is a public elementary school serving young students in the town of Milford, New Hampshire.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867f71508190ad4513c6de2453e6 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.