Triple
T8781783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whaley Bridge |
E208746
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | HIGH PEAK |
E515007
|
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: HIGH PEAK | Statement: [Whaley Bridge, hasPostTown, HIGH PEAK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HIGH PEAK Context triple: [Whaley Bridge, hasPostTown, HIGH PEAK]
-
A.
HIGH PEAK
chosen
HIGH PEAK is a local government district in Derbyshire, England, known for its upland landscapes within the Peak District National Park.
-
B.
Wysoka
Wysoka is a prominent peak in the Pieniny Mountains on the Polish–Slovak border, known for its scenic views and popular hiking trails.
-
C.
High Hill
High Hill, also known as Jaynes Hill, is the highest natural point on Long Island in New York State.
-
D.
Peak 7
Peak 7 is a popular intermediate-focused mountain area at Breckenridge Ski Resort in Colorado, known for its groomed blue runs and easy access via the BreckConnect Gondola.
-
E.
High Peaks
High Peaks is a rugged, rocky summit area in Pinnacles National Park known for its dramatic spires, steep cliffs, and popular hiking trails.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f55b7b08190ab3e18cd634a144b |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51e9d97c8190a947848fdaa5b67d |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:42 p.m.