Triple
T17416404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of East Hampshire |
E423499
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Newton Valence |
—
|
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: Newton Valence | Statement: [Borough of East Hampshire, hasParish, Newton Valence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newton Valence Context triple: [Borough of East Hampshire, hasParish, Newton Valence]
-
A.
Newton Valence
chosen
Newton Valence is a small rural village and civil parish in the county of Hampshire in South East England.
-
B.
Newton Edmunds
Newton Edmunds was an American politician who served as the second governor of Dakota Territory during the 1860s.
-
C.
Newton Clark
Newton Clark was an American mountaineer and early explorer of Oregon’s Mount Hood, after whom the Newton Clark Glacier is named.
-
D.
Will Putnam
Will Putnam is a supporting character in the mystery-comedy series "Only Murders in the Building," known as Oliver Putnam’s son.
-
E.
Daniel Southern
Daniel Southern is an actor best known for his role in the historical action film "The 13th Warrior."
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44232ecdc8190ac8958c1780fea19 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.