Triple
T6946643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collingwood |
E160814
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Clifton Hill |
E329070
|
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: Clifton Hill | Statement: [Collingwood, adjacentTo, Clifton Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clifton Hill Context triple: [Collingwood, adjacentTo, Clifton Hill]
-
A.
Clifton Hill
chosen
Clifton Hill is a popular entertainment and tourist district in Niagara Falls, Ontario, known for its attractions, restaurants, and vibrant nightlife near the falls.
-
B.
Brock Heights
Brock Heights is a residential neighbourhood located within the city of Pickering in Ontario, Canada.
-
C.
Telegraph Hill
Telegraph Hill is a historic San Francisco neighborhood and prominent hill known for its sweeping bay views, steep stairways, and flocks of wild parrots.
-
D.
Telegraph Hill
Telegraph Hill is a residential area in southeast London known for its Victorian architecture, park with city views, and strong community atmosphere.
-
E.
Pill Hill
Pill Hill is a prominent medical district in Portland, Oregon, known for its concentration of major hospitals, clinics, and health science facilities.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da8beb408190b5c87a354c614cf2 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75870719481908312b387a3c6ce81 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:28 p.m.