Triple

T2139189
Position Surface form Disambiguated ID Type / Status
Subject Geosynchronous Satellite Launch Vehicle E46721 entity
Predicate successor P78 FINISHED
Object LVM3
LVM3 is India’s heavy-lift launch vehicle developed by ISRO to carry large communication and deep-space satellites into orbit.
 E238215 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: LVM3 | Statement: [Geosynchronous Satellite Launch Vehicle, successor, LVM3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LVM3
Context triple: [Geosynchronous Satellite Launch Vehicle, successor, LVM3]
  • A. L3
    L3 is a particle physics experiment that operated at CERN’s Large Electron–Positron Collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
  • B. SL3
    SL3 is a branch of Boston’s MBTA Silver Line bus rapid transit system that connects South Station with Chelsea via the Seaport and East Boston tunnels.
  • C. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • D. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • E. Dracut
    Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
  • 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: LVM3
Triple: [Geosynchronous Satellite Launch Vehicle, successor, LVM3]
Generated description
LVM3 is India’s heavy-lift launch vehicle developed by ISRO to carry large communication and deep-space satellites into orbit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LVM3
Target entity description: LVM3 is India’s heavy-lift launch vehicle developed by ISRO to carry large communication and deep-space satellites into orbit.
  • A. L3
    L3 is a particle physics experiment that operated at CERN’s Large Electron–Positron Collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
  • B. SL3
    SL3 is a branch of Boston’s MBTA Silver Line bus rapid transit system that connects South Station with Chelsea via the Seaport and East Boston tunnels.
  • C. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • D. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • E. Dracut
    Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe025d3c81908bcb33a7ff09eae8 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b1290c8190a08850b428c99a6c completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae55923b748190bf7a2df3ae94edc8 completed March 9, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae55fdc32c8190b6ecdc9b23d64cc5 completed March 9, 2026, 5:09 a.m.
Created at: March 4, 2026, 7:44 p.m.