Triple
T6014772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellesmere meres |
E133922
|
entity |
| Predicate | tourismAttractionFor |
P7335
|
FINISHED |
| Object | Ellesmere |
E138467
|
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: Ellesmere | Statement: [Ellesmere meres, tourismAttractionFor, Ellesmere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellesmere Context triple: [Ellesmere meres, tourismAttractionFor, Ellesmere]
-
A.
Ellesmere
chosen
Ellesmere is a small market town in Shropshire, England, known for its nearby glacial meres and scenic rural surroundings.
-
B.
Isle Esme
Isle Esme is a secluded, tropical private island in the Twilight saga where Bella and Edward spend their honeymoon in "Breaking Dawn."
-
C.
Denman
Denman is a small rural town in New South Wales, Australia, known for its agriculture, vineyards, and proximity to the Upper Hunter Valley wine region.
-
D.
Lundy
Lundy is a small, sparsely populated island off the coast of Devon in the Bristol Channel, known for its rugged cliffs, wildlife, and marine nature reserve.
-
E.
Geoje Island
Geoje Island is a large South Korean island off the southern coast, known for its major shipbuilding industry, scenic coastal landscapes, and role as a key maritime and industrial hub.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f80ec108190ae9711727debb061 |
completed | March 22, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11ce452748190b8b798a5cc2922f2 |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:06 p.m.