Triple

T5472257
Position Surface form Disambiguated ID Type / Status
Subject Lucknow Municipal Corporation E122860 entity
Predicate shortName P43 FINISHED
Object LMC
LMC is the civic governing body responsible for municipal administration and public services in the city of Lucknow, India.
 E523449 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: LMC | Statement: [Lucknow Municipal Corporation, shortName, LMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LMC
Context triple: [Lucknow Municipal Corporation, shortName, LMC]
  • A. LMC
    LMC is a nearby irregular dwarf galaxy and satellite of the Milky Way, notable for its active star formation and role in studies of galactic structure and evolution.
  • B. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • C. 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.
  • D. LCL
    LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
  • E. LCL
    LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
  • 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: LMC
Triple: [Lucknow Municipal Corporation, shortName, LMC]
Generated description
LMC is the civic governing body responsible for municipal administration and public services in the city of Lucknow, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LMC
Target entity description: LMC is the civic governing body responsible for municipal administration and public services in the city of Lucknow, India.
  • A. LMC
    LMC is a nearby irregular dwarf galaxy and satellite of the Milky Way, notable for its active star formation and role in studies of galactic structure and evolution.
  • B. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • C. 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.
  • D. LCL
    LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
  • E. LCL
    LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd922f66bc8190b7d47fd68d2fcf2e completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4895b77c819089629d2296a230bc completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4c43b8bc81908b28e1b8287400c7 completed March 22, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69bf4cadc9508190a901a6fe6702f1b7 completed March 22, 2026, 1:58 a.m.
Created at: March 20, 2026, 2:09 p.m.