Triple
T1697648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highgate Cemetery |
E36694
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Highgate |
E188139
|
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: Highgate | Statement: [Highgate Cemetery, locatedIn, Highgate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highgate Context triple: [Highgate Cemetery, locatedIn, Highgate]
-
A.
Highgate
chosen
Highgate is a historic and affluent district in north London, England, known for its famous cemetery and literary associations.
-
B.
Herne Hill
Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
-
C.
Upper Norwood
Upper Norwood is a suburban district in south London, England, known for its elevated position, Victorian architecture, and proximity to the Crystal Palace area.
-
D.
Hampstead
Hampstead is a historic and affluent district in north London, England, known for its literary and artistic associations and the expansive Hampstead Heath.
-
E.
Hampstead
Hampstead is a small, affluent residential town on the Island of Montreal in Quebec, Canada, known for its suburban character and tree-lined streets.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62d2622c81908e39e07bf1117821 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aaf7a008190bf7e5808838c6c2b |
completed | March 8, 2026, 11:47 p.m. |
Created at: March 4, 2026, 7:30 p.m.