Triple
T13838002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkshire Three Peaks route |
E332578
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Settle |
E65136
|
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: Settle | Statement: [Yorkshire Three Peaks route, near, Settle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Settle Context triple: [Yorkshire Three Peaks route, near, Settle]
-
A.
Settle
chosen
Settle is a small market town in North Yorkshire, England, known as a gateway to the Yorkshire Dales and the scenic Settle–Carlisle railway.
-
B.
The Settlement
The Settlement is the main inhabited village of Edinburgh of the Seven Seas, the remote capital of Tristan da Cunha in the South Atlantic Ocean.
-
C.
Settle for More
Settle for More is a memoir by journalist Megyn Kelly that chronicles her personal life, legal and media career, and experiences in the spotlight.
-
D.
Ready to Settle
"Ready to Settle" is a song by the American indie rock band High Fidelity, known for its melodic style and emotionally reflective lyrics.
-
E.
The Sett
"The Sett" is a thriller novel by British explorer and author Sir Ranulph Fiennes, centered on revenge, international crime, and high-stakes adventure.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729a48288190bf24503af6522677 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 9, 2026, 10:13 p.m.