Triple
T10951335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LORAN |
E258732
|
entity |
| Predicate | LORAN-CAccuracy |
P70871
|
FINISHED |
| Object | on the order of hundreds of meters |
—
|
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: on the order of hundreds of meters | Statement: [LORAN, LORAN-CAccuracy, on the order of hundreds of meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LORAN-CAccuracy Context triple: [LORAN, LORAN-CAccuracy, on the order of hundreds of meters]
-
A.
geodeticEffectAccuracy
Indicates the degree to which the measured or modeled geodetic effect matches its true or reference value in terms of precision and correctness.
-
B.
azimuthAccuracy
Indicates the degree of precision or allowable error in the measured or specified azimuth angle between entities.
-
C.
satelliteLocation
Indicates that one entity is located in orbit around or positioned relative to another celestial body or reference point, as a satellite.
-
D.
typicalHorizontalAccuracy
chosen
Indicates the usual or expected degree of precision in the horizontal (x–y) position of a measurement or location estimate.
-
E.
hasAccuracy
Indicates that something possesses a specified level or measure of correctness, precision, or exactness in relation to a standard or reference.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fc156c8190826e124c13ce7242 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.