Triple
T6170793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bressay Lighthouse |
E137689
|
entity |
| Predicate | keeperCottagesUse |
P65667
|
FINISHED |
| Object | visitor accommodation |
—
|
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: visitor accommodation | Statement: [Bressay Lighthouse, keeperCottagesUse, visitor accommodation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keeperCottagesUse Context triple: [Bressay Lighthouse, keeperCottagesUse, visitor accommodation]
-
A.
hasCottagesForRent
Indicates that an entity offers cottages available for rental.
-
B.
houseUse
chosen
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
-
C.
invitesToCountryCottage
Indicates that one entity extends an invitation to another entity to visit or stay at a country cottage.
-
D.
countryHouseType
Indicates the type or category of house associated with or characteristic of a particular country.
-
E.
hasKeeperHouse
Indicates that an entity is associated with or assigned to a specific keeper’s house or residence.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d910c3c8190ae6af548259295ff |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.