Triple
T6327657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Differential GPS |
E141898
|
entity |
| Predicate | referenceStationLocation |
P15186
|
FINISHED |
| Object | precisely surveyed position |
—
|
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: precisely surveyed position | Statement: [Differential GPS, referenceStationLocation, precisely surveyed position]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceStationLocation Context triple: [Differential GPS, referenceStationLocation, precisely surveyed position]
-
A.
transmitterLocation
chosen
Indicates the spatial position or place where a transmitter is situated or operates.
-
B.
flagshipStationLocation
Indicates the location where an organization’s primary or flagship station is situated.
-
C.
countryStationed
Indicates that an entity is assigned, based, or deployed within the territory of a specified country.
-
D.
locationOfBroadcast
Indicates the place or geographic area from which a broadcast is transmitted or originates.
-
E.
sisterStation
Indicates that two broadcast stations are related as counterparts, typically serving different areas or platforms under common ownership or affiliation.
- F. None of above.
Provenance (3 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. |
Created at: March 22, 2026, 4:29 p.m.