Triple
T10832263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llansantffraid-ym-Mechain |
E255650
|
entity |
| Predicate | nearRiver |
P350
|
FINISHED |
| Object | River Cain |
E255652
|
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: River Cain | Statement: [Llansantffraid-ym-Mechain, nearRiver, River Cain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Cain Context triple: [Llansantffraid-ym-Mechain, nearRiver, River Cain]
-
A.
River Cain
chosen
River Cain is a small river in Powys, Wales, that flows through the town of Llanfyllin before joining the River Vyrnwy.
-
B.
Raven
Raven is the mascot representing Sequoia High School’s athletic teams and school spirit.
-
C.
Raven
Raven is a powerful, empathic half-demon sorceress and core member of the Teen Titans, known for her dark, reserved personality and struggle to control her immense magical abilities.
-
D.
Raven
Raven is a central trickster-creator figure in Haida mythology, known for shaping the world and bringing light and knowledge to humanity.
-
E.
Raven
Raven is a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7442323948190afd9488815f7908b |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de85a068b08190948c3ca32cdda147 |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:19 p.m.