Triple
T18845990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stow |
E460914
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Lauder |
—
|
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: Lauder | Statement: [Stow, hasNearbyTown, Lauder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauder Context triple: [Stow, hasNearbyTown, Lauder]
-
A.
Lauder
chosen
Lauder is a small historic town in the Scottish Borders, known for its rural setting and nearby Thirlestane Castle.
-
B.
Ormonde
Ormonde is a suburb of Johannesburg, South Africa, known for hosting the popular Gold Reef City entertainment and theme park complex.
-
C.
Leadsom
Leadsom is the surname of British Conservative politician Andrea Leadsom, who has held several senior government roles in the United Kingdom.
-
D.
Henley
Henley is a UK parliamentary constituency in Oxfordshire, best known for its affluent riverside towns and association with high-profile Conservative politicians.
-
E.
Henley
Henley is a small, affluent waterfront suburb on Sydney’s lower north shore, known for its scenic views of the Parramatta River and proximity to the city.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8ee96988190bf247b986777945c |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.