Triple

T7736985
Position Surface form Disambiguated ID Type / Status
Subject Valley Stream station E175406 entity
Predicate code P1537 FINISHED
Object VSM
VSM is the station code for Valley Stream station on the Long Island Rail Road in New York.
 E685840 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: VSM | Statement: [Valley Stream station, code, VSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VSM
Context triple: [Valley Stream station, code, VSM]
  • A. VSM
    VSM is a post-nominal military decoration of India awarded for distinguished service of a high order to all ranks of the armed forces.
  • B. PVSM
    The Param Vishisht Seva Medal (PVSM) is one of India’s highest military decorations awarded for distinguished service of the most exceptional order to all ranks of the armed forces.
  • C. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • D. VMC
    VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
  • E. VSI
    VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
  • 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: VSM
Triple: [Valley Stream station, code, VSM]
Generated description
VSM is the station code for Valley Stream station on the Long Island Rail Road in New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VSM
Target entity description: VSM is the station code for Valley Stream station on the Long Island Rail Road in New York.
  • A. VSM
    VSM is a post-nominal military decoration of India awarded for distinguished service of a high order to all ranks of the armed forces.
  • B. PVSM
    The Param Vishisht Seva Medal (PVSM) is one of India’s highest military decorations awarded for distinguished service of the most exceptional order to all ranks of the armed forces.
  • C. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • D. VMC
    VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
  • E. VSI
    VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035923108190842025631e2314cc completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3958ac8190a48ba07bd8ea3251 completed March 29, 2026, 5:52 a.m.
NEDg Description generation batch_69c8beb918488190935a1a78109e2073 completed March 29, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf231db8819091da104ba1b47665 completed March 29, 2026, 5:56 a.m.
Created at: March 27, 2026, 4:07 p.m.