Triple
T29134074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddies |
E738461
|
entity |
| Predicate | admitsBoarders |
P166354
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Teddies, admitsBoarders, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admitsBoarders Context triple: [Teddies, admitsBoarders, yes]
-
A.
allowsBoarderIncome
Indicates that an entity permits income to be earned or received from taking in boarders (people who pay to live in a room or part of a property).
-
B.
admitsFrom
Indicates that one entity accepts or enrolls individuals coming from another specified source or institution.
-
C.
allowedOccupationOf
Indicates that one entity is permitted or authorized to hold or perform the occupation associated with another entity.
-
D.
hasNonHumanResident
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
-
E.
isLodgerOf
Indicates that one entity resides in a property or dwelling owned or controlled by another entity, typically as a paying guest or tenant.
- F. None of above. chosen
Provenance (4 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6622f519881909a265ebf46433064 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 11:33 a.m.