Triple

T15315295
Position Surface form Disambiguated ID Type / Status
Subject TD postcode area E366138 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object TD13
TD13 is a UK postal district within the TD (Tweeddale) postcode area, covering a specific part of the Scottish Borders and surrounding region.
E1149663 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: TD13 | Statement: [TD postcode area, hasPostcodeDistrict, TD13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TD13
Context triple: [TD postcode area, hasPostcodeDistrict, TD13]
  • A. TD3
    TD3 (Twin Delayed Deep Deterministic Policy Gradient) is an off-policy deep reinforcement learning algorithm that improves upon DDPG by reducing overestimation bias and stabilizing training for continuous control tasks.
  • B. N13
    N13 is a designated national road route identified by the number 13 within a country's highway network.
  • C. TD-1A
    TD-1A was a European Space Research Organisation astronomical satellite dedicated primarily to ultraviolet sky surveys and stellar observations in the early 1970s.
  • D. T134
    T134 is the ICAO aircraft type designator assigned to the Soviet-era twin-engine jet airliner Tupolev Tu-134.
  • E. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • 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: TD13
Triple: [TD postcode area, hasPostcodeDistrict, TD13]
Generated description
TD13 is a UK postal district within the TD (Tweeddale) postcode area, covering a specific part of the Scottish Borders and surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TD13
Target entity description: TD13 is a UK postal district within the TD (Tweeddale) postcode area, covering a specific part of the Scottish Borders and surrounding region.
  • A. TD3
    TD3 (Twin Delayed Deep Deterministic Policy Gradient) is an off-policy deep reinforcement learning algorithm that improves upon DDPG by reducing overestimation bias and stabilizing training for continuous control tasks.
  • B. N13
    N13 is a designated national road route identified by the number 13 within a country's highway network.
  • C. TD-1A
    TD-1A was a European Space Research Organisation astronomical satellite dedicated primarily to ultraviolet sky surveys and stellar observations in the early 1970s.
  • D. T134
    T134 is the ICAO aircraft type designator assigned to the Soviet-era twin-engine jet airliner Tupolev Tu-134.
  • E. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd050108190a584543cb93943a4 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a688a48190848eb7f065aba146 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fef9cf76cc8190898ea1e648da18ed completed May 9, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_69fefab2d4cc8190acaa4b6341224633 completed May 9, 2026, 9:13 a.m.
Created at: April 10, 2026, 3:16 a.m.