Triple
T22710872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellesmere, Shropshire, England |
E561592
|
entity |
| Predicate | hasWaterbody |
P19308
|
FINISHED |
| Object | Colemere |
—
|
NE NERFINISHED |
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: Colemere | Statement: [Ellesmere, Shropshire, England, hasWaterbody, Colemere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colemere Context triple: [Ellesmere, Shropshire, England, hasWaterbody, Colemere]
-
A.
Colemere
chosen
Colemere is a scenic natural mere in Shropshire, England, known for its tranquil waters, surrounding woodlands, and rich wildlife habitats.
-
B.
Herm Island estate
Herm Island estate is the private ownership and management body responsible for the small Channel Island of Herm, including its historic buildings, tourism operations, and natural environment.
-
C.
Plantation Island
Plantation Island is an island in the Nile at Aswan, Egypt, known for its lush botanical gardens and scenic river views.
-
D.
Trelawney
Trelawney is a small town in Zimbabwe’s Mashonaland West Province, known primarily for its agricultural activities, especially tobacco farming.
-
E.
Trelawney
Trelawney is the surname of Sybill Trelawney, the eccentric Divination professor and seer in the Harry Potter series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17907d7288190bb53f76974f95cef |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:17 p.m.