Triple
T2968004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairmont Copley Plaza Hotel |
E80210
|
entity |
| Predicate | hasPetPolicy |
P14057
|
FINISHED |
| Object | dog-friendly |
—
|
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: dog-friendly | Statement: [Fairmont Copley Plaza Hotel, hasPetPolicy, dog-friendly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPetPolicy Context triple: [Fairmont Copley Plaza Hotel, hasPetPolicy, dog-friendly]
-
A.
petPolicy
chosen
Indicates the rules or conditions governing whether and how pets are allowed in relation to a place, service, or arrangement.
-
B.
hasPetForm
Indicates that one entity can transform into or assume the form of another entity that is characterized as a pet.
-
C.
hasPetOwner
Indicates that a person or entity serves as the owner or caretaker of a particular pet.
-
D.
hasReservationPolicy
Indicates that an entity specifies or is governed by a particular policy regarding how reservations are made, managed, or honored.
-
E.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad996fa4388190abd319c69ee583d9 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.