Triple
T8061769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highgate |
E188139
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Highgate Hill |
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 Hill | Statement: [Highgate, locatedOn, Highgate Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highgate Hill Context triple: [Highgate, locatedOn, Highgate Hill]
-
A.
Highgate
Highgate is a small rural town in the parish of St. Mary on Jamaica’s northeastern side, known for its agricultural surroundings and local market community.
-
B.
Highgate
chosen
Highgate is a historic and affluent district in north London, England, known for its famous cemetery and literary associations.
-
C.
Pound Hill
Pound Hill is a residential neighbourhood and one of the main suburban areas within the town of Crawley in West Sussex, England.
-
D.
Coal Hill
Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
-
E.
Herne Hill
Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcd7bcc8190b0a629a813846f13 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63da3bd08190894b2f4c977167c0 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.