Triple
T21546464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogwr |
E531635
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Afan |
—
|
NE NERFINISHED |
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: [Ogwr, hasBorderWith, Afan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afan Context triple: [Ogwr, hasBorderWith, Afan]
-
A.
Afan
Afan is a river in South Wales that flows through industrial and former mining communities before reaching the sea at Port Talbot.
-
B.
Afonja
Afonja was a powerful Yoruba military leader and provincial warlord of Ilorin in the early 19th century whose rebellion helped precipitate the fall of the Oyo Empire.
-
C.
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.
-
D.
Argveti
Argveti is a historic region in western Georgia known from medieval sources and associated with early Christian noble families and saints.
-
E.
Aveluy
Aveluy is a small commune in northern France’s Somme department, situated in the historical Picardy region and known for its World War I heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58ef2548190a81ff51baba76e48 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.