Triple
T36413236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shell Cottage |
E896936
|
entity |
| Predicate | hasResidentPet |
P13551
|
FINISHED |
| Object | Bill and Fleur's garden gnomes |
—
|
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: Bill and Fleur's garden gnomes | Statement: [Shell Cottage, hasResidentPet, Bill and Fleur's garden gnomes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentPet Context triple: [Shell Cottage, hasResidentPet, Bill and Fleur's garden gnomes]
-
A.
hasPetOwner
Indicates that a person or entity serves as the owner or caretaker of a particular pet.
-
B.
hasPetStatus
Indicates that an entity holds a particular role or classification as a pet in relation to another entity.
-
C.
hasPetForm
Indicates that one entity can transform into or assume the form of another entity that is characterized as a pet.
-
D.
hasAnimal
chosen
Indicates that one entity possesses, keeps, or is associated with an animal.
-
E.
hasResidentUnit
Indicates that a location or facility contains or is associated with a specific residential unit.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.