Triple

T10330058
Position Surface form Disambiguated ID Type / Status
Subject WFS E242850 entity
Predicate relatedStandard P37 FINISHED
Object WMS E242851 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: WMS | Statement: [WFS, relatedStandard, WMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WMS
Context triple: [WFS, relatedStandard, WMS]
  • A. WMS chosen
    WMS (Web Map Service) is an Open Geospatial Consortium standard protocol for serving georeferenced map images over the internet from distributed spatial data sources.
  • B. WMSB
    WMSB is the former ICAO airport code for Sultan Abdul Aziz Shah Airport in Subang, Malaysia.
  • C. WMSA
    WMSA is the ICAO airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
  • D. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • E. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7504679ec8190926d2c5016653cea completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:52 a.m.