Triple
T29803080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodrell Arms Hotel |
E756759
|
entity |
| Predicate | hasStreetPresence |
P195722
|
FINISHED |
| Object | prominent corner building |
—
|
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: prominent corner building | Statement: [Jodrell Arms Hotel, hasStreetPresence, prominent corner building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetPresence Context triple: [Jodrell Arms Hotel, hasStreetPresence, prominent corner building]
-
A.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
B.
hasStreetLevel
Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
-
C.
hasStreetFront
Indicates that one entity directly borders or faces onto a particular street along its frontage.
-
D.
hasConnectingStreet
Indicates that two locations are linked by a street that directly connects them.
-
E.
hasStreetFurniture
Indicates that a location or area contains installed public fixtures such as benches, lamps, bins, or similar street furniture.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
| PDg | Predicate description generation | batch_69fde49953c481909ac352ab36fa9ff2 |
completed | May 8, 2026, 1:26 p.m. |
Created at: April 29, 2026, 5:19 p.m.