Triple
T18757301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stour Valley |
E458683
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Nayland |
—
|
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: Nayland | Statement: [Stour Valley, hasPart, Nayland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nayland Context triple: [Stour Valley, hasPart, Nayland]
-
A.
Nayland
chosen
Nayland is a small village and civil parish in the county of Suffolk in eastern England, known for its historic buildings and rural setting.
-
B.
Tamaūpoko
Tamaūpoko is a Māori iwi (tribe) of the central North Island of New Zealand, traditionally associated with the Whanganui region.
-
C.
Ōakura
Ōakura is a small coastal township in the Taranaki region of New Zealand’s North Island, known for its surf beach and proximity to New Plymouth.
-
D.
Runga
Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
-
E.
Onehunga
Onehunga is a suburb of Auckland, New Zealand, known for its diverse multicultural community and strong Pacific Island, particularly Tongan, presence.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f359e48190a64b7360dd3bed3a |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:52 a.m.