Triple
T38593776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonic Arrow |
E932514
|
entity |
| Predicate | detectionRadiusType |
P57008
|
FINISHED |
| Object | area of effect |
—
|
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: area of effect | Statement: [Sonic Arrow, detectionRadiusType, area of effect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detectionRadiusType Context triple: [Sonic Arrow, detectionRadiusType, area of effect]
-
A.
radarDetectionRange_km
Indicates the maximum distance in kilometers at which a radar system can detect a target.
-
B.
hasRadiusType
chosen
Indicates that an entity has a radius characterized by a specific type or classification.
-
C.
sightRadius
Indicates the maximum distance within which an entity can visually perceive or detect other entities or objects.
-
D.
chargeRadius
Indicates the characteristic radial distance around an entity within which its electric charge or charge-related influence is considered effective.
-
E.
hasRadiusRange
Indicates that there is a specified minimum and maximum radius within which the related entity or feature falls.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.