Triple
T21082943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tall John |
E519414
|
entity |
| Predicate | rangeInNauticalMiles |
P75759
|
FINISHED |
| Object | about 20 |
—
|
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: about 20 | Statement: [Tall John, rangeInNauticalMiles, about 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeInNauticalMiles Context triple: [Tall John, rangeInNauticalMiles, about 20]
-
A.
maximumRangeNauticalMiles
chosen
Indicates the greatest distance, measured in nautical miles, that something can travel or operate under specified conditions.
-
B.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
C.
range_km
Indicates the maximum distance, measured in kilometers, over which something can operate, travel, or be effective.
-
D.
approximateGreatCircleDistanceMiles
Indicates the approximate distance, measured in miles, between two locations along the great-circle path on the surface of a sphere (typically the Earth).
-
E.
distanceBetweenIslands
Indicates the measured spatial separation between two distinct islands.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702dcbf9c81908e4cc016eb21bbbc |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:49 p.m.