Triple

T17689235
Position Surface form Disambiguated ID Type / Status
Subject Misrata International Airport E440979 entity
Predicate ICAOCode P419 FINISHED
Object HLMS 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: HLMS | Statement: [Misrata International Airport, ICAOCode, HLMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HLMS
Context triple: [Misrata International Airport, ICAOCode, HLMS]
  • A. HLMS chosen
    HLMS is the ICAO airport code assigned to Misrata International Airport in Misrata, Libya.
  • B. HLU
    HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
  • C. HAL
    HAL is the ICAO airline designator used to identify Hawaiian Airlines in international aviation operations.
  • D. HAL
    HAL is an open-access multidisciplinary archive and repository for scholarly documents, widely used by researchers to share and preserve their scientific publications.
  • E. HAL
    HAL (Hypertext Application Language) is a simple, JSON- and XML-based format for representing hypermedia resources and links in RESTful APIs.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704a6bb4819083752285baf3b3ee completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.