Triple
T21772137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SM-64 Navaho |
E537459
|
entity |
| Predicate | designedRange_km |
P49736
|
FINISHED |
| Object | ~6400 |
—
|
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: ~6400 | Statement: [SM-64 Navaho, designedRange_km, ~6400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedRange_km Context triple: [SM-64 Navaho, designedRange_km, ~6400]
-
A.
range_km
Indicates the maximum distance, measured in kilometers, over which something can operate, travel, or be effective.
-
B.
lengthInKm
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
C.
designedRange
chosen
Indicates the intended or specified range within which something is designed to operate or be effective.
-
D.
trackLengthApproxKm
Indicates that one entity has an approximate track length, measured in kilometers, associated with it.
-
E.
maximumRangeNauticalMiles
Indicates the greatest distance, measured in nautical miles, that something can travel or operate under specified conditions.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031af6a488190a2dcebed43d199d4 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.