Triple
T6327658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Differential GPS |
E141898
|
entity |
| Predicate | referenceStationFunction |
P70867
|
FINISHED |
| Object | compute GPS measurement errors |
—
|
LITERAL FINISHED |
How this triple was built (2 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: compute GPS measurement errors | Statement: [Differential GPS, referenceStationFunction, compute GPS measurement errors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceStationFunction Context triple: [Differential GPS, referenceStationFunction, compute GPS measurement errors]
-
A.
sisterStation
Indicates that two broadcast stations are related as counterparts, typically serving different areas or platforms under common ownership or affiliation.
-
B.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
C.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
D.
countryStationed
Indicates that an entity is assigned, based, or deployed within the territory of a specified country.
-
E.
flagshipStationFor
Indicates that one station serves as the primary or leading representative station for a particular network, organization, or service.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e9532081908277f10ec380a486 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:29 p.m.