Triple

T5522110
Position Surface form Disambiguated ID Type / Status
Subject Bob Sikes Airport E144834 entity
Predicate ICAOcode P419 FINISHED
Object KCEW
KCEW is the ICAO airport code for Bob Sikes Airport in Crestview, Florida, a public airport serving general aviation and regional air traffic.
E530768 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: KCEW | Statement: [Bob Sikes Airport, ICAOcode, KCEW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCEW
Context triple: [Bob Sikes Airport, ICAOcode, KCEW]
  • A. K.E.W.
    K.E.W. is an initiatory degree within the Ordo Templi Orientis, associated with advanced esoteric study and spiritual development in the order’s system of ceremonial magic and mysticism.
  • B. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • C. KEC
    KEC is the common abbreviation for Kölner Haie, a professional ice hockey club based in Cologne, Germany.
  • D. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • E. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • 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: KCEW
Triple: [Bob Sikes Airport, ICAOcode, KCEW]
Generated description
KCEW is the ICAO airport code for Bob Sikes Airport in Crestview, Florida, a public airport serving general aviation and regional air traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KCEW
Target entity description: KCEW is the ICAO airport code for Bob Sikes Airport in Crestview, Florida, a public airport serving general aviation and regional air traffic.
  • A. K.E.W.
    K.E.W. is an initiatory degree within the Ordo Templi Orientis, associated with advanced esoteric study and spiritual development in the order’s system of ceremonial magic and mysticism.
  • B. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • C. KEC
    KEC is the common abbreviation for Kölner Haie, a professional ice hockey club based in Cologne, Germany.
  • D. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • E. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f73cc8c8190a92a839c1ca804c7 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027f2e98c8190880752c9ae8aba4f completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c04375a6e48190be2ce054fe79f8fc completed March 22, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69c043f987a48190828e012763fa0576 completed March 22, 2026, 7:33 p.m.
Created at: March 22, 2026, 3:33 p.m.