Triple
T1540664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camden |
E32857
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Brent |
E116076
|
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: Brent | Statement: [Camden, hasNeighbour, Brent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Context triple: [Camden, hasNeighbour, Brent]
-
A.
Brent
chosen
Brent is a London borough in northwest London, known for landmarks such as Wembley Stadium and its diverse residential communities.
-
B.
Petro
Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
-
C.
Karby
Karby is a locality within Vallentuna Municipality in Stockholm County, Sweden.
-
D.
Oker
The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
-
E.
Barnett
Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61faaaa4819089120e25f4bcb0f6 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad30997d408190916f16d31bcc35b4 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 4, 2026, 7:26 p.m.