Triple
T20992101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haystacks (Buttermere) |
E517049
|
entity |
| Predicate | describedByAlfredWainwrightAs |
P976
|
FINISHED |
| Object | his favourite fell |
—
|
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: his favourite fell | Statement: [Haystacks (Buttermere), describedByAlfredWainwrightAs, his favourite fell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describedByAlfredWainwrightAs Context triple: [Haystacks (Buttermere), describedByAlfredWainwrightAs, his favourite fell]
-
A.
describedByAuthorAs
chosen
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
-
B.
describedAsByBertieWooster
Indicates that something is characterized or portrayed in a particular way by the character Bertie Wooster.
-
C.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
D.
describedAt
Indicates that something is explained, characterized, or detailed in a particular source, context, or location.
-
E.
hasNumberOfWainwrights
Indicates the specific count of Wainwright-classified fells associated with a given subject.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1cbb10819089e4f1445b921946 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.