Triple
T9229357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardiff South and Penarth |
E221774
|
entity |
| Predicate | hasCityArea |
P11388
|
FINISHED |
| Object | Rumney |
E395208
|
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: Rumney | Statement: [Cardiff South and Penarth, hasCityArea, Rumney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumney Context triple: [Cardiff South and Penarth, hasCityArea, Rumney]
-
A.
Rumney
chosen
Rumney is a district in the eastern part of Cardiff, Wales, situated near the mouth of the Rhymney River.
-
B.
Rumney, New Hampshire
Rumney, New Hampshire is a small town in Grafton County known for its rural character and popular rock-climbing cliffs at Rumney Rocks.
-
C.
Siasconset
Siasconset is a small, historic village on the eastern end of Nantucket Island in Massachusetts, known for its rose-covered cottages and scenic bluffs overlooking the Atlantic Ocean.
-
D.
Moultonborough
Moultonborough is a small town in Carroll County, New Hampshire, known for its scenic lakeside setting, historic sites, and outdoor recreation opportunities in the Lakes Region.
-
E.
Wereham
Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa1c5b4819081dac6713053a8ae |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077a789f0819087d7f7612bbeaf6a |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:29 p.m.