Triple
T14073848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greenbrier |
E338678
|
entity |
| Predicate | hasNumberOfCottages |
P112710
|
FINISHED |
| Object | multiple guest cottages |
—
|
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: multiple guest cottages | Statement: [The Greenbrier, hasNumberOfCottages, multiple guest cottages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfCottages Context triple: [The Greenbrier, hasNumberOfCottages, multiple guest cottages]
-
A.
hasNumberOfKeepersCottages
Indicates the number of keepers’ cottages associated with or belonging to a particular entity.
-
B.
hasCottagesForRent
Indicates that an entity offers cottages available for rental.
-
C.
hasNumberOfHouses
Indicates the quantity of houses associated with a given entity.
-
D.
hasNumberOfCampsites
Indicates the specific quantity of campsites associated with a given place, facility, or area.
-
E.
numberOfCabins
Indicates the total count of cabins associated with a given entity.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.