Triple
T34665234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch |
E890232
|
entity |
| Predicate | ownershipBrand |
P6092
|
FINISHED |
| Object | Catch Hospitality Group |
—
|
NE NERFINISHED |
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: Catch Hospitality Group | Statement: [Catch, ownershipBrand, Catch Hospitality Group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipBrand Context triple: [Catch, ownershipBrand, Catch Hospitality Group]
-
A.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
B.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
C.
catalogBrand
Indicates that a brand is associated with, or offered within, a particular catalog.
-
D.
parentBrand
chosen
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
E.
brandNumber
Indicates the identifying number or code assigned to a particular brand within a system or dataset.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 1, 2026, 2:04 a.m.