Triple

T16921246
Position Surface form Disambiguated ID Type / Status
Subject QZSS Michibiki navigation satellites E410447 entity
Predicate augmentationServiceName P31939 FINISHED
Object SLAS
SLAS is a satellite-based augmentation service used with Japan’s QZSS “Michibiki” navigation system to improve positioning accuracy and reliability.
E1241828 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: SLAS | Statement: [QZSS Michibiki navigation satellites, augmentationServiceName, SLAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SLAS
Context triple: [QZSS Michibiki navigation satellites, augmentationServiceName, SLAS]
  • A. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • B. SLCDA
    SLCDA is the municipal agency responsible for operating and managing Salt Lake City’s airport system, including Salt Lake City International Airport.
  • C. SLSF
    SLSF was the reporting mark used by the St. Louis–San Francisco Railway, commonly known as the Frisco, a major Midwestern and Southern U.S. railroad.
  • D. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • E. SLD
    SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
  • 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: SLAS
Triple: [QZSS Michibiki navigation satellites, augmentationServiceName, SLAS]
Generated description
SLAS is a satellite-based augmentation service used with Japan’s QZSS “Michibiki” navigation system to improve positioning accuracy and reliability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SLAS
Target entity description: SLAS is a satellite-based augmentation service used with Japan’s QZSS “Michibiki” navigation system to improve positioning accuracy and reliability.
  • A. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • B. SLCDA
    SLCDA is the municipal agency responsible for operating and managing Salt Lake City’s airport system, including Salt Lake City International Airport.
  • C. SLSF
    SLSF was the reporting mark used by the St. Louis–San Francisco Railway, commonly known as the Frisco, a major Midwestern and Southern U.S. railroad.
  • D. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • E. SLD
    SLD (Styled Layer Descriptor) is an OGC standard XML schema used to define the styling and visualization rules for geospatial data layers in web mapping services.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdee252c81908621b2ca897416e9 completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd3c488819089e3791c7e704baf completed May 10, 2026, 6:34 p.m.
NEDg Description generation batch_6a00d0e1650881909eacc90cf99787f4 completed May 10, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00d1e024e88190bfcb50b42f37949b completed May 10, 2026, 6:43 p.m.
Created at: April 10, 2026, 5:30 a.m.