Triple
T564266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huff-Daland Aero Corporation |
E13519
|
entity |
| Predicate | aircraftUseCase |
P7787
|
FINISHED |
| Object | agricultural spraying |
—
|
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: agricultural spraying | Statement: [Huff-Daland Aero Corporation, aircraftUseCase, agricultural spraying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftUseCase Context triple: [Huff-Daland Aero Corporation, aircraftUseCase, agricultural spraying]
-
A.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
B.
aviationUsage
chosen
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
C.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
D.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
-
E.
usedInAviation
Indicates that something is employed or applied within the field or context of aviation.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a735b2881908293ad21ad41cdd6 |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.