Triple
T18373414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent Central |
E446245
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Stonebridge |
E297771
|
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: Stonebridge | Statement: [Brent Central, contains, Stonebridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stonebridge Context triple: [Brent Central, contains, Stonebridge]
-
A.
Stonebridge
Stonebridge is a small settlement within the civil parish of Barling Magna in Essex, England.
-
B.
Stanbridge
Stanbridge is a small rural locality within the Leeton Shire in the Riverina region of New South Wales, Australia.
-
C.
Stonebridge Park
chosen
Stonebridge Park is a London Overground and Underground railway station in north-west London, serving the Stonebridge area near Wembley.
-
D.
Willowbridge
Willowbridge is a small rural settlement located within New Zealand’s Waimate District in the South Island.
-
E.
Kingsbridge Heights
Kingsbridge Heights is a residential neighborhood in the northwest Bronx of New York City, known for its hilly terrain, diverse community, and proximity to major parks and institutions.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517561edc8190b5d2834707ab662b |
completed | April 19, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77aa5788190bd1db34041de4966 |
completed | May 13, 2026, 1:44 a.m. |
Created at: April 10, 2026, 10:45 a.m.