Triple

T12181760
Position Surface form Disambiguated ID Type / Status
Subject EFTP E290235 entity
Predicate hasNavigationAid P8170 FINISHED
Object ILS E206887 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: ILS | Statement: [EFTP, hasNavigationAid, ILS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ILS
Context triple: [EFTP, hasNavigationAid, ILS]
  • A. ILS
    ILS is the three-letter ISO 4217 currency code for the Israeli new shekel, the official currency of Israel.
  • B. ILS chosen
    ILS (Instrument Landing System) is a ground-based radio navigation system that provides precise lateral and vertical guidance to aircraft during approach and landing, especially in low-visibility conditions.
  • C. GLL
    GLL is a UK-based charitable social enterprise that operates public leisure centres, gyms, and libraries under the Better brand.
  • D. GBAS (Ground-Based Augmentation System)
    GBAS (Ground-Based Augmentation System) is an advanced navigation aid that enhances GPS signals at airports to provide highly accurate, reliable guidance for precision aircraft approaches and landings.
  • E. SLF Runway 15
    SLF Runway 15 is one of the concrete runways at NASA’s Shuttle Landing Facility at Kennedy Space Center, used for Space Shuttle landings.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fd8dac8190928059ad2b6bbbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6acee6481908ee4129956c98c52 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.