Triple
T22970339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor |
E571169
|
entity |
| Predicate | isCommonIn |
P1393
|
FINISHED |
| Object | Scotland |
—
|
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: Scotland | Statement: [Taylor, isCommonIn, Scotland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scotland Context triple: [Taylor, isCommonIn, Scotland]
-
A.
Scotland
chosen
Scotland is a country in the northern part of the United Kingdom, known for its distinct cultural heritage, historic castles, rugged landscapes, and major cities such as Edinburgh and Glasgow.
-
B.
Scotland
Scotland is a small town located in Telfair County in the U.S. state of Georgia.
-
C.
Schotzie
Schotzie is the Forman family’s pet dog on the television sitcom "That '70s Show."
-
D.
Mainland Scotland
Mainland Scotland is the northern part of Great Britain, encompassing Scotland’s largest cities, diverse landscapes from Highlands to Lowlands, and serving as the country’s principal economic and cultural heartland.
-
E.
Escosse
Escosse is a small commune in the Ariège department of southwestern France, situated within the arrondissement of Pamiers.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1823272c4819083e4653d231facec |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.