Triple
T11261721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shasta Route |
E266576
|
entity |
| Predicate | usedByService |
P1294
|
FINISHED |
| Object |
Shasta Limited
Shasta Limited was a named passenger train service that operated on the Shasta Route in the western United States.
|
E914839
|
NE FINISHED |
How this triple was built (4 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: Shasta Limited | Statement: [Shasta Route, usedByService, Shasta Limited]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shasta Limited Context triple: [Shasta Route, usedByService, Shasta Limited]
-
A.
Awabakal Ltd
Awabakal Ltd is an Aboriginal community-controlled organisation representing and providing services for the Awabakal people of the Newcastle and Lake Macquarie region in New South Wales, Australia.
-
B.
Shao Industries
Shao Industries is a company or corporate entity associated with and employing Liwen Shao.
-
C.
Supai Group
The Supai Group is a prominent sequence of red sandstone, siltstone, and shale rock layers that forms striking cliffs and slopes in many canyons and mesas across the Colorado Plateau.
-
D.
South Pacific Enterprises
South Pacific Enterprises is the production company behind the classic 1958 film adaptation of the Rodgers and Hammerstein musical "South Pacific."
-
E.
Pando Company
Pando Company is a film production company known for producing the movie "The Happy Ending."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shasta Limited Triple: [Shasta Route, usedByService, Shasta Limited]
Generated description
Shasta Limited was a named passenger train service that operated on the Shasta Route in the western United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shasta Limited Target entity description: Shasta Limited was a named passenger train service that operated on the Shasta Route in the western United States.
-
A.
Awabakal Ltd
Awabakal Ltd is an Aboriginal community-controlled organisation representing and providing services for the Awabakal people of the Newcastle and Lake Macquarie region in New South Wales, Australia.
-
B.
Shao Industries
Shao Industries is a company or corporate entity associated with and employing Liwen Shao.
-
C.
Supai Group
The Supai Group is a prominent sequence of red sandstone, siltstone, and shale rock layers that forms striking cliffs and slopes in many canyons and mesas across the Colorado Plateau.
-
D.
South Pacific Enterprises
South Pacific Enterprises is the production company behind the classic 1958 film adaptation of the Rodgers and Hammerstein musical "South Pacific."
-
E.
Pando Company
Pando Company is a film production company known for producing the movie "The Happy Ending."
- F. None of above. chosen
Provenance (5 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94c066c8190be1e032eb328e5fe |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccba233481909f00ebe2237c4f0c |
completed | April 19, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69e4d9ed6a048190ae7476d44cee6a6e |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ddb1b4c8819087699bc73610c7f8 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:31 p.m.