Triple
T20744864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Kingdom |
E510551
|
entity |
| Predicate | narrativeLocation |
P40
|
FINISHED |
| Object | Market Shipborough |
—
|
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: Market Shipborough | Statement: [Peter Kingdom, narrativeLocation, Market Shipborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Market Shipborough Context triple: [Peter Kingdom, narrativeLocation, Market Shipborough]
-
A.
Market Shipborough
chosen
Market Shipborough is a fictional English coastal town that serves as the primary setting of the television drama series "Kingdom."
-
B.
Warsop
Warsop is a small town and civil parish in Nottinghamshire, England, historically linked to coal mining and situated near the larger market town of Mansfield.
-
C.
Purfleet
Purfleet is a town in Essex, England, historically significant as a military and industrial riverside settlement on the River Thames.
-
D.
Baverstock
Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
-
E.
Bilbrook
Bilbrook is a village in Staffordshire, England, known as the place where geneticist Reginald Punnett died.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c21197088190951a4c4a7e765891 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.