Triple
T8729741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NLAW |
E207221
|
entity |
| Predicate | maximumEffectiveRange |
P54860
|
FINISHED |
| Object | about 600 m |
—
|
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 600 m | Statement: [NLAW, maximumEffectiveRange, about 600 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumEffectiveRange Context triple: [NLAW, maximumEffectiveRange, about 600 m]
-
A.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
-
B.
maximumWorkingDistance
chosen
Indicates the greatest allowable or effective distance at which the specified work, operation, or interaction can be performed.
-
C.
gunElevationRange
Indicates the range of vertical angles through which a gun can be elevated or depressed relative to a reference plane.
-
D.
maximumRangeNauticalMiles
Indicates the greatest distance, measured in nautical miles, that something can travel or operate under specified conditions.
-
E.
hasLongerReachThan
Indicates that one entity can extend, influence, or physically reach farther than another entity.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d19fdc88190860e0c9c93ab79ce |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:37 p.m.