Triple

T5958722
Position Surface form Disambiguated ID Type / Status
Subject EuroCity E132580 entity
Predicate abbreviation P43 FINISHED
Object EC
EC is the standard abbreviation for EuroCity, a network of international express passenger trains operating across various European countries.
 E557734 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: EC | Statement: [EuroCity, abbreviation, EC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EC
Context triple: [EuroCity, abbreviation, EC]
  • A. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • B. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • C. EC
    EC is the abbreviation for the APEC Economic Committee, a body that supports economic policy research and cooperation among APEC member economies.
  • D. EC
    EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • E. EC
    EC is the student nickname for MIT’s East Campus undergraduate dormitory, known for its tight-knit, hands-on, and hacker-oriented culture.
  • 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: EC
Triple: [EuroCity, abbreviation, EC]
Generated description
EC is the standard abbreviation for EuroCity, a network of international express passenger trains operating across various European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EC
Target entity description: EC is the standard abbreviation for EuroCity, a network of international express passenger trains operating across various European countries.
  • A. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • B. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • C. EC
    EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • D. EC
    EC is the student nickname for MIT’s East Campus undergraduate dormitory, known for its tight-knit, hands-on, and hacker-oriented culture.
  • E. EC
    EC is the abbreviation for the APEC Economic Committee, a body that supports economic policy research and cooperation among APEC member economies.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c48d0c81908e794c52fddf2ca2 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3e3736c8190b445156f0c1bdf1f completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0ec751abc8190a1f6d09e8c47cd59 completed March 23, 2026, 7:32 a.m.
NED2 Entity disambiguation (via description) batch_69c0ed1871a88190a2894e7e156478d7 completed March 23, 2026, 7:34 a.m.
Created at: March 22, 2026, 4:02 p.m.