Triple
T13955757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dechmont |
E335654
|
entity |
| Predicate | hasNearbyFeature |
P350
|
FINISHED |
| Object | Dechmont Law |
E335654
|
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: Dechmont Law | Statement: [Dechmont, hasNearbyFeature, Dechmont Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dechmont Law Context triple: [Dechmont, hasNearbyFeature, Dechmont Law]
-
A.
Calderbank
Calderbank is a small village in North Lanarkshire, Scotland, historically associated with coal mining and ironworks.
-
B.
Langdell
Langdell is a surname most notably associated with Christopher Columbus Langdell, the influential 19th-century dean of Harvard Law School who pioneered the case method of legal education.
-
C.
Duns Law
Duns Law is a prominent hill near the town of Duns in the Scottish Borders, known for its historical and archaeological significance.
-
D.
Greenlaw
Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
-
E.
Dechmont
chosen
Dechmont is a small village in West Lothian, Scotland, known for its rural setting and proximity to Livingston.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d27a0c8190b5d95ea86fc1a420 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.