Triple

T21227271
Position Surface form Disambiguated ID Type / Status
Subject HLR E523114 entity
Predicate communicatesWith P19362 FINISHED
Object SMSC 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: SMSC | Statement: [HLR, communicatesWith, SMSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMSC
Context triple: [HLR, communicatesWith, SMSC]
  • A. SMSC chosen
    SMSC (Short Message Service Center) is a core mobile network infrastructure component responsible for routing, storing, and forwarding SMS text messages between senders and recipients.
  • B. SMCC
    SMCC is a public community college in South Portland, Maine, offering two-year degree and certificate programs across a range of academic and technical fields.
  • C. SMCC
    SMCC is the acronym for the Shanghai Municipal Commerce Commission, the government body responsible for overseeing and promoting commerce and trade in Shanghai.
  • D. SHAPE School
    SHAPE School was the former name of the NATO School Oberammergau, a key NATO training institution that provides education and courses on alliance operations and strategy.
  • E. Samuel Ward Academy Trust
    Samuel Ward Academy Trust is a multi-academy trust in England that oversees and supports Samuel Ward Academy and other associated schools.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ac42a08190b95a24acf5f0779b completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:44 p.m.