Triple
T6194120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellesmere |
E138467
|
entity |
| Predicate | hasNearbyFeature |
P350
|
FINISHED |
| Object | Colemere |
E561594
|
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: Colemere | Statement: [Ellesmere, hasNearbyFeature, Colemere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colemere Context triple: [Ellesmere, hasNearbyFeature, 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.
Trelawney
Trelawney is the surname of Sybill Trelawney, the eccentric Divination professor and seer in the Harry Potter series.
-
C.
Paradise Island
Paradise Island is a popular resort island in the Bahamas known for its beaches, luxury hotels, and the Atlantis Paradise Island resort complex.
-
D.
Cow Island
Cow Island is a small island located within Maine’s Casco Bay, known for its natural scenery and coastal New England character.
-
E.
Cow Island
Cow Island is one of the islands located on Lake Winnipesaukee in New Hampshire, known for its natural setting and lakeside recreation.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062443cec81909dc9bafea2f5e7d4 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f1c162081909cf34e827f1bd7d7 |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:19 p.m.