Triple
T3738509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl-Gustaf recoilless rifle |
E79642
|
entity |
| Predicate | sightingOptions |
P20282
|
FINISHED |
| Object | iron sights |
—
|
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: iron sights | Statement: [Carl-Gustaf recoilless rifle, sightingOptions, iron sights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sightingOptions Context triple: [Carl-Gustaf recoilless rifle, sightingOptions, iron sights]
-
A.
sightType
chosen
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
-
B.
sights
Indicates that one entity perceives or observes another entity or object using vision.
-
C.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
D.
observationPlatform
Indicates that one entity serves as the physical or virtual platform, site, or facility from which observations of another entity or phenomenon are made.
-
E.
huntingStyle
Indicates the characteristic manner or method an entity typically uses when hunting.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3e9248819098d481fe29e1c628 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.