Triple

T2984828
Position Surface form Disambiguated ID Type / Status
Subject Earl's Court tube station E80596 entity
Predicate hasStationCode P1289 FINISHED
Object ECT
ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
 E316453 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: ECT | Statement: [Earl's Court tube station, hasStationCode, ECT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ECT
Context triple: [Earl's Court tube station, hasStationCode, ECT]
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • C. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • D. CT scanners
    CT scanners are advanced medical imaging devices that use X-rays and computer processing to create detailed cross-sectional images of the body for diagnostic purposes.
  • E. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • 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: ECT
Triple: [Earl's Court tube station, hasStationCode, ECT]
Generated description
ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ECT
Target entity description: ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • C. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • D. CT scanners
    CT scanners are advanced medical imaging devices that use X-rays and computer processing to create detailed cross-sectional images of the body for diagnostic purposes.
  • E. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c65ad0819087bb4ae92ab0dc55 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f8b2b08190904cf89befe656dd completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10bacb1588190868ae703c437e57e completed March 11, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69b10bf903748190a203f0ea97332212 completed March 11, 2026, 6:30 a.m.
Created at: March 8, 2026, 2:59 p.m.