Triple

T21838297
Position Surface form Disambiguated ID Type / Status
Subject Port of Kingston E539177 entity
Predicate hasUNLOCODE P1492 FINISHED
Object JMKIN 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: JMKIN | Statement: [Port of Kingston, hasUNLOCODE, JMKIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JMKIN
Context triple: [Port of Kingston, hasUNLOCODE, JMKIN]
  • A. JMKIN chosen
    JMKIN is the UN/LOCODE identifier for the Port of Kingston, the principal maritime gateway of Jamaica and a major container transshipment hub in the Caribbean.
  • B. JMK
    JMK is the three-letter IATA airport code for Mykonos Island National Airport in Greece.
  • C. JPKMJ
    JPKMJ is the UN/LOCODE identifier assigned to Kumamoto Airport in Japan for international trade and transport logistics.
  • D. KMJ
    KMJ is the three-letter IATA airport code for Kumamoto Airport in Kumamoto Prefecture, Japan.
  • E. KIN
    KIN is the Amtrak station code for Kingston station in Rhode Island, a stop on Amtrak’s Northeast Corridor.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a9a36881909eb917f12d061ba9 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.