Triple
T19601749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earls of Argyll |
E470492
|
entity |
| Predicate | powerBase |
P404
|
FINISHED |
| Object | Western Highlands |
—
|
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: Western Highlands | Statement: [Earls of Argyll, powerBase, Western Highlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Western Highlands Context triple: [Earls of Argyll, powerBase, Western Highlands]
-
A.
Western Highlands
Western Highlands is a highland region of central New Guinea known for its rugged mountainous terrain, cool climate, and traditionally agrarian indigenous communities.
-
B.
West Highlands
chosen
The West Highlands is a rugged and sparsely populated region of western Scotland known for its dramatic mountains, sea lochs, and scenic rural landscapes.
-
C.
Highland
Highland is a vast council area in the Scottish Highlands known for its rugged landscapes, remote communities, and iconic natural scenery including mountains, lochs, and coastline.
-
D.
Highland
Highland is a suburban city in Southern California’s Inland Empire, located in San Bernardino County near the city of San Bernardino.
-
E.
Highland
Highland is a commuter rail station on the Needham Line serving passengers in the Boston, Massachusetts area.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407f1fd88190aa82c4c96f755584 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.