Triple
T5756886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toynbee Hall |
E126988
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Aldgate |
E303935
|
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: Aldgate | Statement: [Toynbee Hall, hasNeighbourhood, Aldgate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aldgate Context triple: [Toynbee Hall, hasNeighbourhood, Aldgate]
-
A.
Aldgate
chosen
Aldgate is a central London Underground station in the City of London, serving as a key interchange and endpoint for multiple Tube lines.
-
B.
Aldgate
Aldgate is a small township in the Adelaide Hills region of South Australia, known for its leafy surroundings and village-style atmosphere.
-
C.
Ludgate Hill
Ludgate Hill is a historic street and one of the traditional high points in the City of London, forming part of the route between Fleet Street and St Paul's Cathedral.
-
D.
Farringdon
Farringdon is a small rural village in the East Hampshire district of Hampshire, England, known for its historic church and traditional countryside setting.
-
E.
Farringdon
Farringdon is a major central London railway and London Underground interchange station, serving as a key hub on routes including Thameslink and the Elizabeth line.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029084e108190988f1b5f38254007 |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e47c1788190b5883df385475237 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:49 p.m.