Triple
T19681845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawers |
E472609
|
entity |
| Predicate | nearbyMountain |
P10602
|
FINISHED |
| Object | Ben Lawers |
—
|
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: Ben Lawers | Statement: [Lawers, nearbyMountain, Ben Lawers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Lawers Context triple: [Lawers, nearbyMountain, Ben Lawers]
-
A.
Ben Lawers
chosen
Ben Lawers is one of the highest and most prominent mountains in the Scottish Highlands, renowned for its rich alpine flora and sweeping views over Loch Tay.
-
B.
Sam Lawson
Sam Lawson is a fictional New England storyteller created by Harriet Beecher Stowe, known for his humorous, dialect-rich tales in "Oldtown Fireside Stories."
-
C.
Brian Laws
Brian Laws is an English former footballer and manager best known for his successful and lengthy spell in charge of Scunthorpe United.
-
D.
Marc Lawrence
Marc Lawrence is an American screenwriter and film director best known for writing and directing romantic comedies such as "Two Weeks Notice," "Music and Lyrics," and "Miss Congeniality."
-
E.
Marc Lawrence
Marc Lawrence was an American character actor best known for his frequent portrayals of gangsters and tough guys in classic Hollywood films.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641c05964819093d3124b8f174001 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.