Triple
T3252678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeppelin airships |
E68218
|
entity |
| Predicate | structuralType |
P841
|
FINISHED |
| Object | rigid framework |
—
|
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 framework | Statement: [Zeppelin airships, structuralType, rigid framework]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structuralType Context triple: [Zeppelin airships, structuralType, rigid framework]
-
A.
originalStructureType
Indicates the type or category of the structure that an entity originally had before any changes or transformations.
-
B.
hasStructureType
chosen
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
C.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
D.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
E.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf440bb88190a2450405afae7f1f |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.