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.