Triple

T17616196
Position Surface form Disambiguated ID Type / Status
Subject STS-130 E429088 entity
Predicate ISSModuleName P128296 FINISHED
Object Node 3 (Tranquility) NE NERFINISHED

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: Node 3 (Tranquility) | Statement: [STS-130, ISSModuleName, Node 3 (Tranquility)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Node 3 (Tranquility)
Context triple: [STS-130, ISSModuleName, Node 3 (Tranquility)]
  • A. Line 3
    Line 3 is one of the main lines of the Barcelona Metro system, running through central parts of the city and connecting several key stations and neighborhoods.
  • B. Line 3
    Line 3 is a major line of the Saint Petersburg Metro system, serving as one of the city's primary rapid transit routes.
  • C. Line 3
    Line 3 is one of the main lines of the Paris Métro, running in an east–west direction across the city and serving several central districts.
  • D. Line 3
    Line 3 is a major rapid transit route of the Guangzhou Metro system, known for its high passenger volume and key role in connecting central urban areas with the airport and suburban districts.
  • E. Line 3
    Line 3 is a major north–south route of the Seoul Metropolitan Subway system, connecting key residential and commercial districts across the city and into surrounding areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Node 3 (Tranquility)
Target entity description: Node 3 (Tranquility) is an International Space Station module that provides life-support systems, crew quarters, and exercise facilities, significantly enhancing the station’s habitability.
  • A. Line 3
    Line 3 is one of the main lines of the Barcelona Metro system, running through central parts of the city and connecting several key stations and neighborhoods.
  • B. Line 3
    Line 3 is a major line of the Saint Petersburg Metro system, serving as one of the city's primary rapid transit routes.
  • C. Line 3
    Line 3 is one of the main lines of the Paris Métro, running in an east–west direction across the city and serving several central districts.
  • D. Line 3
    Line 3 is a major rapid transit route of the Guangzhou Metro system, known for its high passenger volume and key role in connecting central urban areas with the airport and suburban districts.
  • E. Line 3
    Line 3 is a major north–south route of the Seoul Metropolitan Subway system, connecting key residential and commercial districts across the city and into surrounding areas.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ISSModuleName
Context triple: [STS-130, ISSModuleName, Node 3 (Tranquility)]
  • A. commandModuleName
    Indicates the name assigned to a specific command module within a system or application.
  • B. firstISSModule
    Indicates that one entity is the first module of the International Space Station relative to another entity.
  • C. moduleType
    Indicates the classification or category of a module in terms of its functional or structural type.
  • D. issModuleVisited
    Indicates that a specific ISS module has been entered or visited by an entity (such as an astronaut or spacecraft) at least once.
  • E. moduloPatternName
    Indicates that an entity is associated with a specific naming pattern used for modulo-based grouping or partitioning.
  • F. None of above. chosen

Provenance (4 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d32991c81909801161b0a416c94 completed April 19, 2026, 5:50 a.m.
PD Predicate disambiguation batch_69e3cdd7da34819099bc9481c5a79bab completed April 18, 2026, 6:30 p.m.
PDg Predicate description generation batch_69e3cfaac2b881909e1140339eb1a0dd completed April 18, 2026, 6:38 p.m.
Created at: April 10, 2026, 5:51 a.m.