Triple

T7574472
Position Surface form Disambiguated ID Type / Status
Subject Westar 6 E179326 entity
Predicate upperStage P9657 FINISHED
Object PAM-D
PAM-D is a spin-stabilized, solid-propellant Payload Assist Module used as an upper stage to boost communications satellites from low Earth orbit to higher orbits.
 E673859 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: PAM-D | Statement: [Westar 6, upperStage, PAM-D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAM-D
Context triple: [Westar 6, upperStage, PAM-D]
  • A. PAM
    PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
  • B. PMA
    PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
  • C. PMA
    PMA is the station code for Portimão railway station in Portugal’s Algarve region.
  • D. DPM
    DPM is the abbreviation for the División de Policía Militar, a military police division responsible for law enforcement and security duties within a nation's armed forces.
  • E. PMAC
    PMAC is a cryptographic message authentication code mode of operation for block ciphers, co-designed by Phillip Rogaway, that enables efficient, parallelizable authentication of data.
  • 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: PAM-D
Triple: [Westar 6, upperStage, PAM-D]
Generated description
PAM-D is a spin-stabilized, solid-propellant Payload Assist Module used as an upper stage to boost communications satellites from low Earth orbit to higher orbits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAM-D
Target entity description: PAM-D is a spin-stabilized, solid-propellant Payload Assist Module used as an upper stage to boost communications satellites from low Earth orbit to higher orbits.
  • A. PAM
    PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
  • B. PMA
    PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
  • C. PMA
    PMA is the station code for Portimão railway station in Portugal’s Algarve region.
  • D. DPM
    DPM is the abbreviation for the División de Policía Militar, a military police division responsible for law enforcement and security duties within a nation's armed forces.
  • E. PMAC
    PMAC is a cryptographic message authentication code mode of operation for block ciphers, co-designed by Phillip Rogaway, that enables efficient, parallelizable authentication of data.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f948e1e08190ad807292365a0c27 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856ea9a2c8190a81762ac509c4c97 completed March 28, 2026, 10:32 p.m.
NEDg Description generation batch_69c8587b461c819081b63e71b533547a completed March 28, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69c858fd9d4081909bb2072fcc3e3836 completed March 28, 2026, 10:41 p.m.
Created at: March 27, 2026, 3:51 p.m.