Triple
T16425856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIM-92 Stinger |
E398940
|
entity |
| Predicate | seekerFeatures |
P17581
|
FINISHED |
| Object | infrared and ultraviolet discrimination |
—
|
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: infrared and ultraviolet discrimination | Statement: [FIM-92 Stinger, seekerFeatures, infrared and ultraviolet discrimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seekerFeatures Context triple: [FIM-92 Stinger, seekerFeatures, infrared and ultraviolet discrimination]
-
A.
seekerCapability
chosen
Indicates that an entity has the ability or function to detect, track, or locate a target or object.
-
B.
seekerType
Indicates the specific category or role of the entity that is performing or initiating the seeking action in the relationship.
-
C.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
searchFeature
Indicates that an entity provides or supports functionality for searching or querying information or items.
-
E.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328faa7448190a2606f1b37ea0a3d |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.