Triple
T17583624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inverness to Keith |
E428263
|
entity |
| Predicate | traversesRegion |
P285
|
FINISHED |
| Object | Highland |
—
|
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: Highland | Statement: [Inverness to Keith, traversesRegion, Highland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highland Context triple: [Inverness to Keith, traversesRegion, Highland]
-
A.
Highland
chosen
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.
-
B.
Highland
Highland is a suburban city in Southern California’s Inland Empire, located in San Bernardino County near the city of San Bernardino.
-
C.
Highland
Highland is a commuter rail station on the Needham Line serving passengers in the Boston, Massachusetts area.
-
D.
Highland
Highland is a city in Utah County, Utah, known as a suburban residential community in the Provo–Orem metropolitan area.
-
E.
Highlands
The Highlands is a rugged, sparsely populated region of northern Scotland known for its dramatic mountains, glens, and lochs, as well as its strong Gaelic cultural heritage.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d015fc8190b2dd897026d6fcb5 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.