Triple
T1305705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLC |
E27871
|
entity |
| Predicate | operatorArea |
P23381
|
FINISHED |
| Object | CrossCountry |
E3874
|
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: CrossCountry | Statement: [GLC, operatorArea, CrossCountry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CrossCountry Context triple: [GLC, operatorArea, CrossCountry]
-
A.
CrossCountry
chosen
CrossCountry is a major British train operating company that runs long-distance intercity and regional passenger services across much of the United Kingdom.
-
B.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
-
C.
Interstate
The Interstate is the United States’ nationwide system of high-speed, limited-access highways that connects major cities and regions for efficient long-distance travel and commerce.
-
D.
Frontier
Frontier is a cutting-edge exascale supercomputer recognized as one of the world’s most powerful systems for scientific research and high-performance computing.
-
E.
Crossroads of America
Crossroads of America is a nickname for Indianapolis that reflects its historic and contemporary role as a major national transportation and logistics hub.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c48d25608190b069fb4d0d460aa6 |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb306e3cc8190997cda8aaedbcebb |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:51 p.m.