Triple

T3944262
Position Surface form Disambiguated ID Type / Status
Subject MIT East Campus E92106 entity
Predicate hasNickname P39 FINISHED
Object EC
EC is the student nickname for MIT’s East Campus undergraduate dormitory, known for its tight-knit, hands-on, and hacker-oriented culture.
 E402390 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: [MIT East Campus, hasNickname, EC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EC
Context triple: [MIT East Campus, hasNickname, 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 a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • D. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • E. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • 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: [MIT East Campus, hasNickname, EC]
Generated description
EC is the student nickname for MIT’s East Campus undergraduate dormitory, known for its tight-knit, hands-on, and hacker-oriented culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EC
Target entity description: EC is the student nickname for MIT’s East Campus undergraduate dormitory, known for its tight-knit, hands-on, and hacker-oriented culture.
  • 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. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • E. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeee00d94881908fcf5ee1e27b1658 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53394eccc8190a58534e749e24b07 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b537609cfc8190a5eee10f24e5626f completed March 14, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69b537cf56188190af7046a498b58892 completed March 14, 2026, 10:26 a.m.
Created at: March 9, 2026, 3:24 p.m.