Triple

T6125290
Position Surface form Disambiguated ID Type / Status
Subject Goldstone Deep Space Communications Complex E136580 entity
Predicate hasAntenna P21286 FINISHED
Object DSS-25
DSS-25 is a large, high-gain radio antenna at NASA’s Goldstone Deep Space Communications Complex used for tracking and communicating with interplanetary spacecraft.
 E570561 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: DSS-25 | Statement: [Goldstone Deep Space Communications Complex, hasAntenna, DSS-25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DSS-25
Context triple: [Goldstone Deep Space Communications Complex, hasAntenna, DSS-25]
  • A. DSS
    DSS is the IATA airport code for Blaise Diagne International Airport, the main international gateway serving Dakar, Senegal.
  • B. DSS
    DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
  • C. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • D. LDSS-2
    LDSS-2 is an earlier-generation astronomical imaging spectrograph that was later replaced by the more advanced LDSS3 instrument.
  • E. D22
    D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
  • 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: DSS-25
Triple: [Goldstone Deep Space Communications Complex, hasAntenna, DSS-25]
Generated description
DSS-25 is a large, high-gain radio antenna at NASA’s Goldstone Deep Space Communications Complex used for tracking and communicating with interplanetary spacecraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DSS-25
Target entity description: DSS-25 is a large, high-gain radio antenna at NASA’s Goldstone Deep Space Communications Complex used for tracking and communicating with interplanetary spacecraft.
  • A. DSS
    DSS is the IATA airport code for Blaise Diagne International Airport, the main international gateway serving Dakar, Senegal.
  • B. DSS
    DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
  • C. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • D. LDSS-2
    LDSS-2 is an earlier-generation astronomical imaging spectrograph that was later replaced by the more advanced LDSS3 instrument.
  • E. D22
    D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c2791948190ba33458edfd1ebe8 completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135b2500c8190aaf67b059ccbe3f1 completed March 23, 2026, 12:44 p.m.
NEDg Description generation batch_69c13769a4bc81908d45d371e77f8d32 completed March 23, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69c138247e2c8190b6c2aabbd36ad9c0 completed March 23, 2026, 12:55 p.m.
Created at: March 22, 2026, 4:14 p.m.