Triple
T2698172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonko the Sane |
E58562
|
entity |
| Predicate | notableFeatureOfHouse |
P16907
|
FINISHED |
| Object | house is turned inside out |
—
|
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: house is turned inside out | Statement: [Wonko the Sane, notableFeatureOfHouse, house is turned inside out]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFeatureOfHouse Context triple: [Wonko the Sane, notableFeatureOfHouse, house is turned inside out]
-
A.
architectureProperty
chosen
Indicates that a specified architectural characteristic or feature is attributed to, or associated with, an entity.
-
B.
roofFeature
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
C.
typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
D.
renovationFeature
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
-
E.
exteriorFeature
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda322af48190833b8a3c006db236 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.