Triple
T6609341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culgaith |
E149196
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Langwathby |
E149193
|
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: Langwathby | Statement: [Culgaith, hasNeighbouringSettlement, Langwathby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langwathby Context triple: [Culgaith, hasNeighbouringSettlement, Langwathby]
-
A.
Langwathby
chosen
Langwathby is a small rural village and civil parish in Cumbria, England, situated near the River Eden and known for its scenic surroundings and traditional village green.
-
B.
Talyllyn
Talyllyn is a historic narrow-gauge steam locomotive that operates on the Talyllyn Railway in Wales.
-
C.
Aynho
Aynho is a historic village in Northamptonshire, England, known for its picturesque setting near the River Cherwell and traditional stone architecture.
-
D.
Nelwyn
Nelwyn are a fictional, diminutive humanoid race from the fantasy film "Willow," known for their rural village life and practice of magic.
-
E.
Blyford
Blyford is a small rural village located in the English county of Suffolk.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3301dc819082d427675c36aaa6 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43f14148190882b9b8f2f95e22c |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.