Triple
T9658278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Royal Vehicles |
E233516
|
entity |
| Predicate | locatedInParkLikeSetting |
P89452
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Museum of Royal Vehicles, locatedInParkLikeSetting, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInParkLikeSetting Context triple: [Museum of Royal Vehicles, locatedInParkLikeSetting, yes]
-
A.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
B.
locatedInForest
Indicates that an entity is situated within the boundaries of a forest.
-
C.
isPartOfScenicVista
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
D.
locatedInNationalLakeshore
Indicates that one place or feature is situated within the boundaries of a designated national lakeshore area.
-
E.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdeb04081909ee582084e502ff6 |
completed | April 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:14 p.m.