Triple
T6011868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunchback |
E133852
|
entity |
| Predicate | aircraftPrimaryMaterial |
P47038
|
FINISHED |
| Object | wooden wings |
—
|
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: wooden wings | Statement: [Hunchback, aircraftPrimaryMaterial, wooden wings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftPrimaryMaterial Context triple: [Hunchback, aircraftPrimaryMaterial, wooden wings]
-
A.
fuelTankMaterial
Indicates the material from which a fuel tank is made.
-
B.
airframeConstruction
Indicates the method or structural approach used to build an aircraft’s main body and supporting framework.
-
C.
hasCrewCompartmentMaterial
chosen
Indicates that an entity’s crew compartment is made of, or incorporates, a specified material.
-
D.
fuselageType
Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
-
E.
airframeDerivedFrom
Indicates that one airframe design is derived or developed from another pre-existing airframe design.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f5159bc8190a988293bbbb99d24 |
completed | March 22, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.