Triple
T14485782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCALP Naval |
E359225
|
entity |
| Predicate | guidanceSystem |
P7207
|
FINISHED |
| Object | GPS |
E26827
|
NE 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: GPS | Statement: [SCALP Naval, guidanceSystem, GPS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GPS Context triple: [SCALP Naval, guidanceSystem, GPS]
-
A.
GPS
chosen
GPS (Global Positioning System) is a satellite-based navigation system that provides precise location and timing information to military and civilian users worldwide.
-
B.
GPS
GPS is the Division of Geological and Planetary Sciences at the California Institute of Technology, focusing on research and education in Earth and planetary sciences.
-
C.
GPS
GPS is a professional school at the University of California San Diego specializing in international affairs, public policy, and global strategy.
-
D.
GPS
GPS is an early artificial intelligence program developed in the late 1950s to model human problem-solving by systematically searching for solutions in a defined problem space.
-
E.
Differential GPS
Differential GPS is an enhanced positioning system that improves the accuracy of standard GPS signals by using ground-based reference stations to correct signal errors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a73cf48190811d6de182e891c4 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.