Triple

T6981681
Position Surface form Disambiguated ID Type / Status
Subject Stanly County Airport E161860 entity
Predicate FAA LID P420 FINISHED
Object SVH
SVH is the FAA location identifier for Stanly County Airport, a public-use airport serving Stanly County, North Carolina.
 E634265 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: SVH | Statement: [Stanly County Airport, FAA LID, SVH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVH
Context triple: [Stanly County Airport, FAA LID, SVH]
  • A. SVH
    SVH is the FAA location identifier for Statesville Regional Airport, a public airport serving the Statesville area in North Carolina.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • D. SBV
    SBV is the central bank of Vietnam, responsible for issuing the national currency and overseeing the country’s monetary and banking systems.
  • E. SVHS
    SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
  • 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: SVH
Triple: [Stanly County Airport, FAA LID, SVH]
Generated description
SVH is the FAA location identifier for Stanly County Airport, a public-use airport serving Stanly County, North Carolina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVH
Target entity description: SVH is the FAA location identifier for Stanly County Airport, a public-use airport serving Stanly County, North Carolina.
  • A. SVH
    SVH is the FAA location identifier for Statesville Regional Airport, a public airport serving the Statesville area in North Carolina.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • D. SBV
    SBV is the central bank of Vietnam, responsible for issuing the national currency and overseeing the country’s monetary and banking systems.
  • E. SVHS
    SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6d3f3c8190b0121f7934440c34 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0e34288190ad2decbc18190c6b completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76b2c3ca481909df85ef915a91f10 completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76ba3f8ec8190af87316fc63b523e completed March 28, 2026, 5:48 a.m.
Created at: March 27, 2026, 2:31 p.m.