Triple
T906585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sopwith Pup |
E19560
|
entity |
| Predicate | serviceCeiling_m |
P2095
|
FINISHED |
| Object | 5200 |
—
|
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: 5200 | Statement: [Sopwith Pup, serviceCeiling_m, 5200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceCeiling_m Context triple: [Sopwith Pup, serviceCeiling_m, 5200]
-
A.
operationalCeiling
chosen
Indicates the maximum altitude at which an entity (such as an aircraft or system) is designed or permitted to operate effectively and safely.
-
B.
maximumService
Indicates that an entity provides the highest allowable or achievable level of service within a given context or system.
-
C.
ceilingHeight
Indicates the vertical distance from the floor to the ceiling in a given space.
-
D.
hasCeilingType
Indicates that an entity is associated with or characterized by a specific type of ceiling.
-
E.
numberOfFloorsServed
Indicates the total count of distinct floors that are served or accessed by a given entity (such as an elevator or service system).
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b28ff5948190982c4439eadf9d87 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.