Triple

T16967832
Position Surface form Disambiguated ID Type / Status
Subject Lake Hood Seaplane Base E411587 entity
Predicate IATACode P418 FINISHED
Object LHD
LHD is the IATA airport code for Lake Hood Seaplane Base, a major seaplane facility located near Anchorage, Alaska.
 E1243254 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: LHD | Statement: [Lake Hood Seaplane Base, IATACode, LHD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LHD
Context triple: [Lake Hood Seaplane Base, IATACode, LHD]
  • A. LHD
    LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
  • B. LHT
    LHT is a multi-use recreational trail in the Lawrence and Hopewell areas of New Jersey, popular for walking, running, and cycling.
  • C. LHO
    LHO is the National Rail station code for Langho railway station in Lancashire, England.
  • D. LHDIA
    LHDIA is a turbulence modeling approach in fluid dynamics that approximates particle interactions by tracking their Lagrangian histories to efficiently simulate complex turbulent flows.
  • E. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • 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: LHD
Triple: [Lake Hood Seaplane Base, IATACode, LHD]
Generated description
LHD is the IATA airport code for Lake Hood Seaplane Base, a major seaplane facility located near Anchorage, Alaska.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LHD
Target entity description: LHD is the IATA airport code for Lake Hood Seaplane Base, a major seaplane facility located near Anchorage, Alaska.
  • A. LHD
    LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
  • B. LHT
    LHT is a multi-use recreational trail in the Lawrence and Hopewell areas of New Jersey, popular for walking, running, and cycling.
  • C. LHO
    LHO is the National Rail station code for Langho railway station in Lancashire, England.
  • D. LHDIA
    LHDIA is a turbulence modeling approach in fluid dynamics that approximates particle interactions by tracking their Lagrangian histories to efficiently simulate complex turbulent flows.
  • E. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a6f628819080db47285954729a completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46f1d608190befe4dcbda086c03 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d619d0f88190904a8afdd02c6f54 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d67eb2a48190b57e394925181f70 completed May 10, 2026, 7:03 p.m.
Created at: April 10, 2026, 5:31 a.m.