Triple
T11539351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A13 |
E273630
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Newham |
E525534
|
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: Newham | Statement: [A13, passesThrough, Newham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newham Context triple: [A13, passesThrough, Newham]
-
A.
Newham
chosen
Newham is a diverse, densely populated borough in East London known for its major regeneration projects, including the Queen Elizabeth Olympic Park and surrounding developments.
-
B.
Redbridge
Redbridge is a borough in northeast London, England, known for its suburban character, green spaces, and diverse communities.
-
C.
Haringey
Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
-
D.
Walthamstow
Walthamstow is a district in northeast London, England, known for its diverse community, historic market, and role as a parliamentary constituency.
-
E.
Islington
Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886deed5c81908e5c38156064f882 |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6344b938c8190877bd3140ad904e9 |
completed | May 2, 2026, 5:28 p.m. |
Created at: April 8, 2026, 9:37 p.m.