Triple

T9193017
Position Surface form Disambiguated ID Type / Status
Subject Gardabya Airport E220634 entity
Predicate hasICAOCode P419 FINISHED
Object HLGD
HLGD is the ICAO airport code assigned to Gardabya Airport in Libya.
 E783519 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: HLGD | Statement: [Gardabya Airport, hasICAOCode, HLGD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLGD
Context triple: [Gardabya Airport, hasICAOCode, HLGD]
  • A. HBL
    HBL (Habib Bank Limited) is one of Pakistan’s largest and oldest commercial banks, widely recognized for its extensive branch network and major corporate sponsorships, including in sports.
  • B. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • C. HLZ
    HLZ is the IATA airport code for Hamilton Airport in New Zealand, serving the city of Hamilton and the surrounding Waikato region.
  • D. G.O.L.H.
    G.O.L.H. is the abbreviation for the Grand Officier rank, one of the highest grades within France’s prestigious national order, the Légion d'honneur.
  • E. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • 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: HLGD
Triple: [Gardabya Airport, hasICAOCode, HLGD]
Generated description
HLGD is the ICAO airport code assigned to Gardabya Airport in Libya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLGD
Target entity description: HLGD is the ICAO airport code assigned to Gardabya Airport in Libya.
  • A. HBL
    HBL (Habib Bank Limited) is one of Pakistan’s largest and oldest commercial banks, widely recognized for its extensive branch network and major corporate sponsorships, including in sports.
  • B. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • C. HLZ
    HLZ is the IATA airport code for Hamilton Airport in New Zealand, serving the city of Hamilton and the surrounding Waikato region.
  • D. G.O.L.H.
    G.O.L.H. is the abbreviation for the Grand Officier rank, one of the highest grades within France’s prestigious national order, the Légion d'honneur.
  • E. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c1fa9c8190bc5cc6dce8778694 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c2bb2c481909db8c223aececf37 completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05d4ec9d48190bb425fe0449f4bf2 completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05dde94f08190aec82aa680ca0dce completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.