Triple
T17921766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hook Norton Brewery |
E448086
|
entity |
| Predicate | hasNumberOfPubs |
P129327
|
FINISHED |
| Object | around 40 |
—
|
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: around 40 | Statement: [Hook Norton Brewery, hasNumberOfPubs, around 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfPubs Context triple: [Hook Norton Brewery, hasNumberOfPubs, around 40]
-
A.
numberOfPapers
Indicates the quantity of papers associated with a given entity.
-
B.
hasNotablePublicationType
Indicates that an entity is associated with a publication of a specific notable type or category.
-
C.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
D.
hasResearchOutput
Indicates that an entity produces, is associated with, or is responsible for a particular research output or scholarly work.
-
E.
hasRelatedPublication
Indicates that an entity is associated with one or more publications that are relevant or connected to it in content, context, or subject matter.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30a11748190be41361d108aee58 |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db77df0c819084548168c62b398c |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:20 a.m.