Triple
T8619095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOU Raider Stadium |
E204115
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object |
Ashland
Ashland is a small city in southern Oregon known for its vibrant arts scene, including the Oregon Shakespeare Festival, and its proximity to outdoor recreation areas.
|
E752814
|
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: Ashland | Statement: [SOU Raider Stadium, city, Ashland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashland Context triple: [SOU Raider Stadium, city, Ashland]
-
A.
Ashland
Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
-
B.
Ashland
Ashland is an unincorporated community in Alameda County, California, situated in the East Bay region of the San Francisco Bay Area.
-
C.
Ashland
Ashland is a small town in northern Mississippi that serves as the administrative and cultural center of Benton County.
-
D.
Ashland
Ashland is a small borough in Schuylkill County, Pennsylvania, historically known for its anthracite coal mining heritage.
-
E.
Ashland, Ohio
Ashland, Ohio is a small city in north-central Ohio known historically as a regional manufacturing and agricultural center and home to Ashland University.
- 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: Ashland Triple: [SOU Raider Stadium, city, Ashland]
Generated description
Ashland is a small city in southern Oregon known for its vibrant arts scene, including the Oregon Shakespeare Festival, and its proximity to outdoor recreation areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashland Target entity description: Ashland is a small city in southern Oregon known for its vibrant arts scene, including the Oregon Shakespeare Festival, and its proximity to outdoor recreation areas.
-
A.
Ashland
Ashland is an unincorporated community in Alameda County, California, situated in the East Bay region of the San Francisco Bay Area.
-
B.
Ashland
Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
-
C.
Ashland
Ashland is a small town in northern Mississippi that serves as the administrative and cultural center of Benton County.
-
D.
Ashland
Ashland is a small borough in Schuylkill County, Pennsylvania, historically known for its anthracite coal mining heritage.
-
E.
Ashland, Ohio
Ashland, Ohio is a small city in north-central Ohio known historically as a regional manufacturing and agricultural center and home to Ashland University.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc471458f48190a6d8858f8074727d |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28344e80819085955004a631e654 |
completed | April 3, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69cf2a6a91d48190aa7d45b0a010f261 |
completed | April 3, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c0aace08190aca839c39e718c52 |
completed | April 3, 2026, 2:55 a.m. |
Created at: March 30, 2026, 6:26 p.m.