Triple
T30989153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curtiss F9C Sparrowhawk |
E789618
|
entity |
| Predicate | airshipTypeUsedWith |
P170886
|
FINISHED |
| Object | rigid airship |
—
|
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: rigid airship | Statement: [Curtiss F9C Sparrowhawk, airshipTypeUsedWith, rigid airship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airshipTypeUsedWith Context triple: [Curtiss F9C Sparrowhawk, airshipTypeUsedWith, rigid airship]
-
A.
airshipClass
Indicates the classification or type category to which an airship belongs.
-
B.
airshipNumber
Indicates the identifying number assigned to a specific airship within a set or system.
-
C.
airWingType
Indicates the classification or category of an air wing associated with an entity.
-
D.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
-
E.
airshipRegistration
Indicates the formal registration relationship between an airship and the authority or registry that records its official details and identification.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:56 p.m.