Triple

T8967182
Position Surface form Disambiguated ID Type / Status
Subject Mornington Crescent tube station E214167 entity
Predicate stationCode P1289 FINISHED
Object MTC
MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
 E769913 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: MTC | Statement: [Mornington Crescent tube station, stationCode, MTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTC
Context triple: [Mornington Crescent tube station, stationCode, MTC]
  • A. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • B. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • C. MRTC
    MRTC is the Marine Raider Training Center, the primary U.S. Marine Corps Special Operations Command facility responsible for training and preparing Marine Raiders for special operations missions.
  • D. MTU
    MTU is a German brand best known for its high-performance diesel engines and propulsion systems used in marine, industrial, and power generation applications.
  • E. MTU
    MTU is a public research university in Houghton, Michigan, known for its strong engineering, technology, and science programs.
  • 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: MTC
Triple: [Mornington Crescent tube station, stationCode, MTC]
Generated description
MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTC
Target entity description: MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • A. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • B. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • C. MRTC
    MRTC is the Marine Raider Training Center, the primary U.S. Marine Corps Special Operations Command facility responsible for training and preparing Marine Raiders for special operations missions.
  • D. MTU
    MTU is a public research university in Houghton, Michigan, known for its strong engineering, technology, and science programs.
  • E. MTU
    MTU is a German brand best known for its high-performance diesel engines and propulsion systems used in marine, industrial, and power generation applications.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc676389948190aa78fdf6a5ae74a5 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95879c08190b0091548c8c00207 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb42e6ec8190b126163bf4472986 completed April 3, 2026, 2:14 p.m.
NED2 Entity disambiguation (via description) batch_69cfcbba82e88190b40e9721c835fff0 completed April 3, 2026, 2:16 p.m.
Created at: March 30, 2026, 7:01 p.m.