Triple
T30456705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-35 Lightning II |
E774881
|
entity |
| Predicate | hasCombatRadius |
P203266
|
FINISHED |
| Object | over 1,000 kilometers (variant dependent) |
—
|
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: over 1,000 kilometers (variant dependent) | Statement: [F-35 Lightning II, hasCombatRadius, over 1,000 kilometers (variant dependent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCombatRadius Context triple: [F-35 Lightning II, hasCombatRadius, over 1,000 kilometers (variant dependent)]
-
A.
hasCombat
Indicates that an entity engages in, is involved with, or possesses the capability for combat or fighting interactions with other entities.
-
B.
hasCombatType
Indicates that an entity is associated with a particular mode or category of combat it uses or participates in.
-
C.
casualtyRadius
Indicates the distance from a central point within which people or objects are likely to be harmed or killed by an event or action.
-
D.
hasCombatantRole
Indicates that an entity participates in a conflict or battle in a specific combat-related role or capacity.
-
E.
hasFiringRange
Indicates that one entity possesses or provides a designated area or capability for discharging weapons over a specified distance.
- F. None of above. chosen
Provenance (4 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0144c75aec81908bdd9e88f2af737a |
completed | May 11, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_6a014405a2d48190a1d58b0b907ad696 |
completed | May 11, 2026, 2:50 a.m. |
| PDg | Predicate description generation | batch_6a0144c6bd20819093562eb03dc5b2c8 |
completed | May 11, 2026, 2:53 a.m. |
Created at: April 29, 2026, 8:10 p.m.