Triple

T10591086
Position Surface form Disambiguated ID Type / Status
Subject Ghat Airport E249988 entity
Predicate ICAOcode P419 FINISHED
Object HLGT
HLGT is the ICAO airport code for Ghat Airport, a public airport serving the town of Ghat in southwestern Libya.
 E873420 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: HLGT | Statement: [Ghat Airport, ICAOcode, HLGT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLGT
Context triple: [Ghat Airport, ICAOcode, HLGT]
  • A. HGT
    HGT is the National Rail station code for Harrogate railway station in North Yorkshire, England.
  • B. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • C. Ldl
    Ldl is the official station code for Leiden Lammenschans railway station in the Netherlands.
  • D. GLT
    GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
  • E. 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.
  • 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: HLGT
Triple: [Ghat Airport, ICAOcode, HLGT]
Generated description
HLGT is the ICAO airport code for Ghat Airport, a public airport serving the town of Ghat in southwestern Libya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLGT
Target entity description: HLGT is the ICAO airport code for Ghat Airport, a public airport serving the town of Ghat in southwestern Libya.
  • A. HGT
    HGT is the National Rail station code for Harrogate railway station in North Yorkshire, England.
  • B. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • C. Ldl
    Ldl is the official station code for Leiden Lammenschans railway station in the Netherlands.
  • D. GLT
    GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
  • E. 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.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277b66448190b668c47fe6af4f3d completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b99b3248190b5eac0e99cb73d4b completed April 10, 2026, 7:12 p.m.
NEDg Description generation batch_69d94eb817cc8190902f6178d83b52a6 completed April 10, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69d952c334448190b1c21964b55a3a68 completed April 10, 2026, 7:42 p.m.
Created at: April 6, 2026, 12:40 p.m.