Triple

T3814091
Position Surface form Disambiguated ID Type / Status
Subject Lady Margaret Boat Club E84208 entity
Predicate shortName P43 FINISHED
Object LMBC
LMBC is the abbreviation for Lady Margaret Boat Club, the rowing club of St John’s College, Cambridge, known for its strong tradition in college rowing.
E391744 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: LMBC | Statement: [Lady Margaret Boat Club, shortName, LMBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LMBC
Context triple: [Lady Margaret Boat Club, shortName, LMBC]
  • A. LBC
    LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
  • B. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • C. BLC
    BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
  • D. LMB
    LMB is a commonly used abbreviation that can refer to various organizations or concepts, most notably the MRC Laboratory of Molecular Biology in Cambridge, UK.
  • E. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • 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: LMBC
Triple: [Lady Margaret Boat Club, shortName, LMBC]
Generated description
LMBC is the abbreviation for Lady Margaret Boat Club, the rowing club of St John’s College, Cambridge, known for its strong tradition in college rowing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LMBC
Target entity description: LMBC is the abbreviation for Lady Margaret Boat Club, the rowing club of St John’s College, Cambridge, known for its strong tradition in college rowing.
  • A. LBC
    LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
  • B. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • C. BLC
    BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
  • D. LMB
    LMB is a commonly used abbreviation that can refer to various organizations or concepts, most notably the MRC Laboratory of Molecular Biology in Cambridge, UK.
  • E. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8dd315481908bef595b56a4f0cb completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb3ddc1481909fd4a8befb8ece17 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fbd93b1481909f89d807ef870aa7 completed March 14, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_69b4ffc51bc08190aef4548a351b5604 completed March 14, 2026, 6:27 a.m.
Created at: March 9, 2026, 3:17 p.m.