Triple
T5189895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cymmer |
E117124
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Afan |
E156289
|
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: Afan | Statement: [Cymmer, hasRiver, Afan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afan Context triple: [Cymmer, hasRiver, Afan]
-
A.
Afan Valley
chosen
Afan Valley is a scenic former coal-mining valley in South Wales, now known for its forests, mountain biking trails, and outdoor recreation.
-
B.
Dawro
Dawro is an Omotic language spoken primarily by the Dawro people in southwestern Ethiopia.
-
C.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
-
D.
Moura
Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
-
E.
Anières
Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79ebbfd081909a19b903c227fc1f |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08dfe648190a98b5a61f857d593 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:46 p.m.