Triple

T14346478
Position Surface form Disambiguated ID Type / Status
Subject Nhava Sheva E355735 entity
Predicate hasTerminal P182 FINISHED
Object NSICT E919091 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: NSICT | Statement: [Nhava Sheva, hasTerminal, NSICT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSICT
Context triple: [Nhava Sheva, hasTerminal, NSICT]
  • A. NSICT chosen
    NSICT (Nhava Sheva International Container Terminal) is a major private container terminal at India’s Jawaharlal Nehru Port, handling significant volumes of the country’s maritime container traffic.
  • B. NICTS
    NICTS is the government agency responsible for administering courts and tribunals in Northern Ireland.
  • C. Institute for ICT
    The Institute for ICT is a faculty of Hogeschool Utrecht specializing in higher education and applied research in information and communication technologies.
  • D. CNIT
    CNIT is a prominent modernist convention and exhibition center in the La Défense business district near Paris, known for its distinctive vaulted concrete architecture.
  • E. NETSGC
    NETSGC is the abbreviated name and competitive brand identity of Nets Gaming Crew, the NBA 2K League affiliate of the Brooklyn Nets.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469f63b881909c164b1aaadcc15d completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.