Triple
T9638656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belsize Park |
E233000
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Primrose Hill Park |
E194539
|
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: Primrose Hill Park | Statement: [Belsize Park, hasGreenSpace, Primrose Hill Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Primrose Hill Park Context triple: [Belsize Park, hasGreenSpace, Primrose Hill Park]
-
A.
Primrose Hill Park
chosen
Primrose Hill Park is a popular green space in north London known for its grassy hilltop offering panoramic views of the city skyline.
-
B.
Pearl’s Hill City Park
Pearl’s Hill City Park is a tranquil, hilly green space in central Singapore known for its walking trails, reservoir views, and escape from the surrounding urban bustle.
-
C.
Green Park
Green Park is a public park in Kanpur, India, historically significant enough to lend its name to the nearby Green Park Stadium.
-
D.
Green Park
Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
-
E.
Green Park
Green Park is a Delhi Metro station in South Delhi serving the Green Park and nearby Hauz Khas and Safdarjung areas.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b51b08081908e30744607b28953 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d59ab0b48190acc133cc806582cc |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:11 p.m.