Triple
T21305260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenfarg |
E525179
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Glenfarg |
—
|
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: Glenfarg | Statement: [Glenfarg, hasName, Glenfarg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenfarg Context triple: [Glenfarg, hasName, Glenfarg]
-
A.
Glenfarg
chosen
Glenfarg is a small village in Perth and Kinross, Scotland, known for its rural setting and proximity to major transport routes between Perth and Kinross.
-
B.
Glencalvie
Glencalvie is a Highland estate in Scotland historically noted for a notorious 19th-century eviction episode during the Highland Clearances.
-
C.
Glenmoral
Glenmoral is a rural locality within Banana Shire in Central Queensland, Australia, characterized by its agricultural landscape and small population.
-
D.
Hyndland
Hyndland is an affluent residential district in Glasgow known for its historic tenement buildings, leafy streets, and vibrant local amenities.
-
E.
Gilmorehill
Gilmorehill is the historic main campus area of the University of Glasgow, located in the West End of Glasgow, Scotland.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa3f90481909b212bdbf00c2bb0 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:05 p.m.