Triple

T21240203
Position Surface form Disambiguated ID Type / Status
Subject LMC E523449 entity
Predicate shortName P43 FINISHED
Object LMC 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: LMC | Statement: [LMC, shortName, LMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LMC
Context triple: [LMC, shortName, LMC]
  • A. LMC
    LMC is the civic governing body responsible for municipal administration and public services in the city of Lucknow, India.
  • B. LMC
    LMC is a nearby irregular dwarf galaxy and satellite of the Milky Way, notable for its active star formation and role in studies of galactic structure and evolution.
  • C. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • D. LMBC
    LMBC is the abbreviation for Lady Margaret Boat Club, the rowing club of St John’s College, Cambridge, known for its strong tradition in college rowing.
  • E. HLCM
    HLCM is the High-level Committee on Management, a senior coordination body within the United Nations system that focuses on management and administrative issues across UN organizations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73522acdc8190b3e155026a0445cd completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.