Triple

T15769001
Position Surface form Disambiguated ID Type / Status
Subject Gove Airport E382299 entity
Predicate ICAOcode P419 FINISHED
Object YPGV
YPGV is the ICAO airport code for Gove Airport, a regional airport serving the Gove Peninsula in the Northern Territory of Australia.
E1174817 NE FINISHED

How this triple was built (4 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: YPGV | Statement: [Gove Airport, ICAOcode, YPGV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YPGV
Context triple: [Gove Airport, ICAOcode, YPGV]
  • A. GNV
    GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
  • B. YP
    YP is the commonly used abbreviation for the Yocto Project, an open-source collaboration project that provides tools and templates for creating custom Linux-based systems for embedded devices.
  • C. UAPV
    UAPV is a French public university located in Avignon, known for its programs in humanities, social sciences, and environmental studies.
  • D. KGV
    KGV is the station code for Kingsgrove railway station on Sydney’s suburban rail network in New South Wales, Australia.
  • E. VXP
    VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: YPGV
Triple: [Gove Airport, ICAOcode, YPGV]
Generated description
YPGV is the ICAO airport code for Gove Airport, a regional airport serving the Gove Peninsula in the Northern Territory of Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YPGV
Target entity description: YPGV is the ICAO airport code for Gove Airport, a regional airport serving the Gove Peninsula in the Northern Territory of Australia.
  • A. GNV
    GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
  • B. YP
    YP is the commonly used abbreviation for the Yocto Project, an open-source collaboration project that provides tools and templates for creating custom Linux-based systems for embedded devices.
  • C. UAPV
    UAPV is a French public university located in Avignon, known for its programs in humanities, social sciences, and environmental studies.
  • D. KGV
    KGV is the station code for Kingsgrove railway station on Sydney’s suburban rail network in New South Wales, Australia.
  • E. VXP
    VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
  • F. None of above. chosen

Provenance (5 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051951bac8190a7d45f3612c6de72 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877a67008190b05f879d05876fd3 completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff88430cb88190994039da4d3ce247 completed May 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff88aca9b08190ab2b687dd17d0845 completed May 9, 2026, 7:19 p.m.
Created at: April 10, 2026, 4:47 a.m.