Triple
T5177940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Cynon |
E116845
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Mountain Ash |
E105742
|
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: Mountain Ash | Statement: [River Cynon, flowsThrough, Mountain Ash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mountain Ash Context triple: [River Cynon, flowsThrough, Mountain Ash]
-
A.
Mountain Ash
chosen
Mountain Ash is a former coal-mining town and community in the Cynon Valley of Rhondda Cynon Taf, South Wales.
-
B.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
C.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
-
D.
Tilia
Tilia is a genus of deciduous trees commonly known as lindens or lime trees, valued for their fragrant flowers, heart-shaped leaves, and use in ornamental planting and herbal remedies.
-
E.
Nyssa
Nyssa is a companion of the Fifth Doctor in the long-running British science fiction television series Doctor Who.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7976339481909ece900de22064f2 |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed95185ac819085fb42a69e014ec5 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:45 p.m.