Triple

T3681262
Position Surface form Disambiguated ID Type / Status
Subject Saint Helena Airport E78116 entity
Predicate ICAOcode P419 FINISHED
Object FHSH
FHSH is the ICAO airport code assigned to Saint Helena Airport, the remote island’s primary air transport facility in the South Atlantic Ocean.
 E380783 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: FHSH | Statement: [Saint Helena Airport, ICAOcode, FHSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FHSH
Context triple: [Saint Helena Airport, ICAOcode, FHSH]
  • A. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • B. LH
    LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
  • C. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • D. FERT
    FERT is the historic motto of the House of Savoy and the Kingdom of Italy, traditionally associated with chivalric virtue and royal authority.
  • E. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • 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: FHSH
Triple: [Saint Helena Airport, ICAOcode, FHSH]
Generated description
FHSH is the ICAO airport code assigned to Saint Helena Airport, the remote island’s primary air transport facility in the South Atlantic Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FHSH
Target entity description: FHSH is the ICAO airport code assigned to Saint Helena Airport, the remote island’s primary air transport facility in the South Atlantic Ocean.
  • A. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • B. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • C. LH
    LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
  • D. FERT
    FERT is the historic motto of the House of Savoy and the Kingdom of Italy, traditionally associated with chivalric virtue and royal authority.
  • E. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc492aed481909e8986378ad283fc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3ae61908190beefd0df317b5eca completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c79cc8148190af8abfb393232a60 completed March 14, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69b4c94ccb5c819092d1ab8246e44108 completed March 14, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:25 p.m.