Triple

T3548976
Position Surface form Disambiguated ID Type / Status
Subject NTT 3.58 m Telescope E75064 entity
Predicate abbreviation P43 FINISHED
Object NTT E367947 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: NTT | Statement: [NTT 3.58 m Telescope, abbreviation, NTT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTT
Context triple: [NTT 3.58 m Telescope, abbreviation, NTT]
  • A. NTT chosen
    NTT is a 3.58-meter optical telescope operated by the European Southern Observatory at La Silla Observatory in Chile, notable for pioneering active optics technology.
  • B. NTT DoCoMo
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • C. KDDI
    KDDI is a major Japanese telecommunications company that provides mobile, broadband, and other communication services domestically and internationally.
  • D. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • E. Pacific Telesis
    Pacific Telesis was a regional telecommunications company formed after the breakup of AT&T, serving as one of the Baby Bells providing local telephone and related services in the western United States.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd278348190ad2fa54f4a423541 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9218448190ae432ae74c0a6916 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.