Triple
T2603048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slough |
E58388
|
entity |
| Predicate | famousWorkAboutPlace |
P26406
|
FINISHED |
| Object | poem "Slough" by John Betjeman |
—
|
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: poem "Slough" by John Betjeman | Statement: [Slough, famousWorkAboutPlace, poem "Slough" by John Betjeman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousWorkAboutPlace Context triple: [Slough, famousWorkAboutPlace, poem "Slough" by John Betjeman]
-
A.
famousArtworkLocatedIn
Indicates that a specific famous artwork is physically situated or displayed within a particular location or venue.
-
B.
hasCulturalWorkNamedAfterIt
chosen
Indicates that something has a cultural work (such as a book, film, song, or artwork) that is named after it.
-
C.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
D.
inspiredByPlace
Indicates that something (such as a work, idea, or creation) originates from or is significantly influenced by a particular location or environment.
-
E.
notableWorkIn
Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd48241c48190bc80418212e33bc8 |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.