Triple
T2698166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonko the Sane |
E58562
|
entity |
| Predicate | reasonForBuildingOutsideOfTheAsylum |
P30171
|
FINISHED |
| Object | to cope with the madness of the world |
—
|
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: to cope with the madness of the world | Statement: [Wonko the Sane, reasonForBuildingOutsideOfTheAsylum, to cope with the madness of the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForBuildingOutsideOfTheAsylum Context triple: [Wonko the Sane, reasonForBuildingOutsideOfTheAsylum, to cope with the madness of the world]
-
A.
liesOutside
Indicates that one entity is located entirely beyond the spatial or conceptual boundary of another entity.
-
B.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
C.
isPublicBuilding
Indicates that a building is designated for public use, access, or service rather than being privately owned or restricted.
-
D.
locatedOutsideJurisdiction
Indicates that one entity is situated beyond the legal or administrative authority area of another entity or governing body.
-
E.
reasonForLocation
chosen
Indicates the cause, purpose, or justification for why an entity is at a particular location.
- 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.