Triple
T13772051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wharfedale |
E330903
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Strid Woods |
E728967
|
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: Strid Woods | Statement: [Wharfedale, hasAttraction, Strid Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strid Woods Context triple: [Wharfedale, hasAttraction, Strid Woods]
-
A.
Strid Wood
chosen
Strid Wood is a scenic ancient woodland in North Yorkshire, England, known for its riverside walks along the River Wharfe and rich wildlife near Bolton Abbey.
-
B.
Kultida Woods
Kultida Woods is the Thai-born mother of golf legend Tiger Woods, known for her strong influence on his upbringing and cultural heritage.
-
C.
Winterfold Forest
Winterfold Forest is a large woodland area in Surrey, England, known for its scenic trails, cycling routes, and views over the surrounding countryside.
-
D.
Hurtwood Forest
Hurtwood Forest is a large area of mixed woodland and heathland in the Surrey Hills of England, popular for walking, cycling, and outdoor recreation.
-
E.
Eversong Woods
Eversong Woods is the lush, autumn-hued starting region and ancestral homeland of the blood elves in World of Warcraft.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0235aea881909ab4c721db081b00 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0724ab481908448d71a1bd02253 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:10 p.m.