Triple
T14495197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Borough of Bexley |
E359476
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Blackfen |
E250662
|
NE 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: Blackfen | Statement: [London Borough of Bexley, contains, Blackfen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blackfen Context triple: [London Borough of Bexley, contains, Blackfen]
-
A.
Blackfen
chosen
Blackfen is a suburban residential area in the London Borough of Bexley, known for its local shops, schools, and proximity to Sidcup.
-
B.
Gallowflat
Gallowflat is a residential area within the town of Rutherglen in South Lanarkshire, Scotland.
-
C.
Nethermead
Nethermead is a large open meadow in Brooklyn’s Prospect Park, known for its expansive lawns and use as a site for picnics, recreation, and public events.
-
D.
Sharrow Vale
Sharrow Vale is a vibrant residential and shopping district in Sheffield, England, known for its independent shops, cafes, and proximity to the Porter Brook.
-
E.
Wraxall
Wraxall is a village in North Somerset, England, known for its rural character and proximity to the town of Nailsea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9544cc81908105554f212a9b8c |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.