Triple

T16693523
Position Surface form Disambiguated ID Type / Status
Subject Batticaloa Airport E405652 entity
Predicate hasIATACode P2569 FINISHED
Object BTC E405651 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: BTC | Statement: [Batticaloa Airport, hasIATACode, BTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BTC
Context triple: [Batticaloa Airport, hasIATACode, BTC]
  • A. BTC chosen
    BTC is the IATA airport code for Batticaloa Airport in Sri Lanka.
  • B. BITC
    BITC (Burnt-In Timecode) is a visual representation of timecode numbers superimposed directly onto video frames for easy reference during editing and review.
  • C. BTCL
    BTCL (Bangladesh Telecommunications Company Limited) is the state-owned telecommunications operator in Bangladesh, providing fixed-line, broadband, and related communication services nationwide.
  • D. Bitcoin
    Bitcoin is a decentralized digital cryptocurrency that operates without a central bank, enabling peer-to-peer transactions secured by blockchain technology.
  • E. BitC
    BitC is a systems programming language designed for safety, low-level control, and formal verification, drawing on ideas from Modula-3 and capability-based security.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eab93a081909aedc45f3f8f0e10 completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d36aa90819090b738c1c94dcb9f completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.