Triple
T21964973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilsea |
E542434
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Copnor |
—
|
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: Copnor | Statement: [Hilsea, borders, Copnor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copnor Context triple: [Hilsea, borders, Copnor]
-
A.
Copnor
chosen
Copnor is a residential suburb on Portsea Island within the city of Portsmouth on England’s south coast.
-
B.
Kemper
Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
-
C.
Cencora
Cencora is a global pharmaceutical services and distribution company that provides drug sourcing, logistics, and related healthcare solutions to pharmacies, hospitals, and manufacturers.
-
D.
Konerko
Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
-
E.
Nolcorp
Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12459e1848190aa8d4ccc97f434b8 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.