Triple

T2572385
Position Surface form Disambiguated ID Type / Status
Subject UTDC ICTS Mark I vehicles E57693 entity
Predicate alsoKnownAs P39 FINISHED
Object ICTS Mark I E57693 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: ICTS Mark I | Statement: [UTDC ICTS Mark I vehicles, alsoKnownAs, ICTS Mark I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICTS Mark I
Context triple: [UTDC ICTS Mark I vehicles, alsoKnownAs, ICTS Mark I]
  • A. UTDC ICTS Mark I vehicles chosen
    UTDC ICTS Mark I vehicles are early-generation, fully automated, lightweight rapid transit cars used on systems like Toronto’s Scarborough RT.
  • B. Honeywell 316 minicomputer
    The Honeywell 316 minicomputer was a small, 16-bit general-purpose computer from the late 1960s widely used in early networking and control applications.
  • C. IRS-1B
    IRS-1B is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
  • D. S-100 bus computers
    S-100 bus computers are early microcomputer systems built around the S-100 expansion bus standard, widely used in the late 1970s and early 1980s for hobbyist and professional computing.
  • E. IRS-1C
    IRS-1C is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3853c848190970e8a2da16d726d completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657028f08190b461442bfc7489e1 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.