Triple
T9006527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Circular Road |
E215156
|
entity |
| Predicate | passesThrough |
P225
|
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: [North Circular Road, passesThrough, Brent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Context triple: [North Circular Road, passesThrough, 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.
Brent
Brent is a masculine given name of Old English origin, commonly used in English-speaking countries.
-
C.
Brentson
Brentson is a masculine given name most notably borne by former NFL defensive tackle and coach Brentson Buckner.
-
D.
Ardroil
Ardroil is a coastal settlement on the Isle of Lewis in Scotland’s Outer Hebrides, noted for its scenic beaches and significant archaeological remains.
-
E.
Hess
Hess is a surname of German origin borne by numerous notable individuals across fields such as science, politics, and the arts.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.