Triple
T33025730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Welwyn Hatfield |
E845036
|
entity |
| Predicate | containsGardenCity |
P41919
|
FINISHED |
| Object | Welwyn Garden City |
—
|
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: Welwyn Garden City | Statement: [Borough of Welwyn Hatfield, containsGardenCity, Welwyn Garden City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsGardenCity Context triple: [Borough of Welwyn Hatfield, containsGardenCity, Welwyn Garden City]
-
A.
hasGardenCity
chosen
Indicates that an entity is associated with or contains a designated garden city.
-
B.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
-
C.
coversCity
Indicates that one entity extends over, includes, or geographically encompasses the area of a specified city.
-
D.
containsSuburbanAreaOf
Indicates that one geographic region includes within its boundaries a suburban area belonging to or associated with another region.
-
E.
hasGardenSquare
Indicates that an entity includes, is adjacent to, or is otherwise associated with a garden square.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0004582bb08190b8d0b88251e8d333 |
completed | May 10, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a0003e3e5588190933beea5fb28f150 |
completed | May 10, 2026, 4:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.