Triple

T20968688
Position Surface form Disambiguated ID Type / Status
Subject FK postcode area E516436 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object FK12
FK12 is a UK postal district within the FK (Falkirk) postcode area, covering parts of central Scotland.
E1459383 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: FK12 | Statement: [FK postcode area, hasPostcodeDistrict, FK12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FK12
Context triple: [FK postcode area, hasPostcodeDistrict, FK12]
  • A. F-12
    F-12 is the station code assigned to Higashi-Shinjuku Station on Tokyo’s subway network.
  • B. F121
    The F121 is a small turbofan engine developed by Williams International, commonly used in military unmanned aerial vehicles and cruise missiles.
  • C. F124
    F124 is a compact, high-performance turbofan engine developed by Honeywell for use in military trainer and light attack aircraft.
  • D. FK5 120
    FK5 120 is a catalog designation for the bright O-type runaway star Xi Persei, located in the constellation Perseus.
  • E. GFKZ
    GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
  • 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: FK12
Triple: [FK postcode area, hasPostcodeDistrict, FK12]
Generated description
FK12 is a UK postal district within the FK (Falkirk) postcode area, covering parts of central Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FK12
Target entity description: FK12 is a UK postal district within the FK (Falkirk) postcode area, covering parts of central Scotland.
  • A. F-12
    F-12 is the station code assigned to Higashi-Shinjuku Station on Tokyo’s subway network.
  • B. F121
    The F121 is a small turbofan engine developed by Williams International, commonly used in military unmanned aerial vehicles and cruise missiles.
  • C. F124
    F124 is a compact, high-performance turbofan engine developed by Honeywell for use in military trainer and light attack aircraft.
  • D. FK5 120
    FK5 120 is a catalog designation for the bright O-type runaway star Xi Persei, located in the constellation Perseus.
  • E. GFKZ
    GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9e3a50819085b3a974bda812e0 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09279ea0b48190a78673940c2b6102 completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0929abe3f08190b11668da23eaad6a completed May 17, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a092a598ce48190accdca513e2361d7 completed May 17, 2026, 2:39 a.m.
Created at: April 16, 2026, 1:41 p.m.