Triple
T18942926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrowhead Water |
E463430
|
entity |
| Predicate | isBrand |
P133890
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Arrowhead Water, isBrand, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBrand Context triple: [Arrowhead Water, isBrand, true]
-
A.
isPremiumBrand
Indicates that a brand is classified as high-end or luxury, typically associated with superior quality, exclusivity, and higher price positioning compared to standard brands.
-
B.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
C.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
-
D.
catalogBrand
Indicates that a brand is associated with, or offered within, a particular catalog.
-
E.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ed847c8190a911a61673608a5c |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:59 a.m.