Triple
T4910125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milnrow |
E110210
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Newhey |
E100979
|
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: Newhey | Statement: [Milnrow, hasSuburb, Newhey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newhey Context triple: [Milnrow, hasSuburb, Newhey]
-
A.
Newhey
chosen
Newhey is a village in Greater Manchester, England, situated on the eastern edge of the Metropolitan Borough of Rochdale near the Pennines.
-
B.
Hesby
Hesby is a small Norwegian island village in Rogaland county known for its historic church and traditional coastal landscape.
-
C.
Brylin
Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
-
D.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
E.
Kedyw
Kedyw was a special operations and sabotage unit of the Polish underground Home Army that carried out resistance actions against Nazi German occupation during World War II.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e99414081908c3d3283f563bba4 |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fe43a888190ab1b150da0f49203 |
completed | March 21, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:29 p.m.