Triple

T4459118
Position Surface form Disambiguated ID Type / Status
Subject Pettycur E98206 entity
Predicate postalArea P920 FINISHED
Object KY3
KY3 is a postcode district in the Kirkcaldy area of Fife, Scotland, covering coastal communities including Pettycur and its surroundings.
E442975 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: KY3 | Statement: [Pettycur, postalArea, KY3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KY3
Context triple: [Pettycur, postalArea, KY3]
  • A. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • B. KMY
    KMY is the Polish vehicle registration code assigned to the Myślenice district in the Lesser Poland Voivodeship.
  • C. KMSY
    KMSY is the ICAO airport code for Louis Armstrong New Orleans International Airport, the primary commercial airport serving the New Orleans metropolitan area in Louisiana, USA.
  • D. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • E. YKF
    YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
  • 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: KY3
Triple: [Pettycur, postalArea, KY3]
Generated description
KY3 is a postcode district in the Kirkcaldy area of Fife, Scotland, covering coastal communities including Pettycur and its surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KY3
Target entity description: KY3 is a postcode district in the Kirkcaldy area of Fife, Scotland, covering coastal communities including Pettycur and its surroundings.
  • A. KYA
    KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
  • B. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • C. KMY
    KMY is the Polish vehicle registration code assigned to the Myślenice district in the Lesser Poland Voivodeship.
  • D. KMSY
    KMSY is the ICAO airport code for Louis Armstrong New Orleans International Airport, the primary commercial airport serving the New Orleans metropolitan area in Louisiana, USA.
  • E. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567184f481908a2787e4ac9bb345 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6283811f0819095aa671ac593bd8d completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b629532cac8190b959adc0ef13305a completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62d9c287c8190a305f9d21517f913 completed March 15, 2026, 3:55 a.m.
Created at: March 12, 2026, 11:33 p.m.