Triple

T9140897
Position Surface form Disambiguated ID Type / Status
Subject Guisborough E219323 entity
Predicate postcodeDistrict P222 FINISHED
Object TS14
TS14 is a UK postcode district covering the town of Guisborough and its surrounding area in North Yorkshire, England.
 E780674 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: TS14 | Statement: [Guisborough, postcodeDistrict, TS14]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TS14
Context triple: [Guisborough, postcodeDistrict, TS14]
  • A. TX-14
    TX-14 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • B. TSL
    TSL is an abbreviation commonly used for Time & Space Limited, a name typically associated with organizations or projects focused on temporal and spatial concepts or services.
  • C. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • D. TS
    TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • E. TS
    TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
  • 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: TS14
Triple: [Guisborough, postcodeDistrict, TS14]
Generated description
TS14 is a UK postcode district covering the town of Guisborough and its surrounding area in North Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TS14
Target entity description: TS14 is a UK postcode district covering the town of Guisborough and its surrounding area in North Yorkshire, England.
  • A. TX-14
    TX-14 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • B. TSL
    TSL is an abbreviation commonly used for Time & Space Limited, a name typically associated with organizations or projects focused on temporal and spatial concepts or services.
  • C. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • D. TS
    TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • E. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f2537881908956a9b0516e2d49 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0480ee2f081908ed98844784e465c completed April 3, 2026, 11:06 p.m.
NEDg Description generation batch_69d04935d4e88190acb4d65a2dc2bc8a completed April 3, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69d049e6c4cc81909e08b5aaed9a88dc completed April 3, 2026, 11:14 p.m.
Created at: March 30, 2026, 7:19 p.m.