Triple
T20409262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington, County Durham, England |
E500546
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Harraton |
—
|
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: Harraton | Statement: [Washington, County Durham, England, hasPart, Harraton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harraton Context triple: [Washington, County Durham, England, hasPart, Harraton]
-
A.
Harraton
chosen
Harraton is a residential locality within Washington in the metropolitan county of Tyne and Wear, England.
-
B.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
C.
Harsent
Harsent is the surname of British poet and librettist David Harsent, noted for his dark, formally inventive verse.
-
D.
Hunwick
Hunwick is a small village in County Durham, England, situated in the Wear Valley near the River Wear.
-
E.
Harquin
Harquin is a children's book by British author-illustrator John Burningham, known for its imaginative storytelling and distinctive, expressive artwork.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.