Triple
T7758015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba |
E175945
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Highlands |
E667510
|
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: Highlands | Statement: [Alba, historicalRegion, Highlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highlands Context triple: [Alba, historicalRegion, Highlands]
-
A.
Highlands
chosen
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.
-
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.
West Highlands
The West Highlands is a rugged and sparsely populated region of western Scotland known for its dramatic mountains, sea lochs, and scenic rural landscapes.
-
E.
Highlands region
The Highlands region is a mountainous inland area of Papua New Guinea known for its rugged terrain, cool climate, and diverse traditional cultures.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703dcb26881909d72a280108864bf |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6c06f54819096162e84180918ba |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:09 p.m.