Triple
T37675212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woburn Abbey |
E938072
|
entity |
| Predicate | hasLandscapePark |
P22590
|
FINISHED |
| Object | Woburn Park |
—
|
NE NERFINISHED |
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: Woburn Park | Statement: [Woburn Abbey, hasLandscapePark, Woburn Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandscapePark Context triple: [Woburn Abbey, hasLandscapePark, Woburn Park]
-
A.
hasParks
chosen
Indicates that one entity possesses, contains, or is associated with one or more parks.
-
B.
hasCountryPark
Indicates that a place or administrative area contains or is associated with a designated country park.
-
C.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
D.
hasRegionalPark
Indicates that a place or administrative area contains or is served by a designated regional park.
-
E.
hasNationalParkSection
Indicates that a larger area, region, or entity contains or includes a section that is designated as a national park.
- 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: May 3, 2026, 4:18 p.m.