Triple
T4286133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clayton |
E97272
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Openshaw
Openshaw is an inner-city district of Manchester, England, known for its industrial heritage and residential neighborhoods.
|
E427782
|
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: Openshaw | Statement: [Clayton, adjacentTo, Openshaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Openshaw Context triple: [Clayton, adjacentTo, Openshaw]
-
A.
Welhaven
Welhaven is a Norwegian surname most notably associated with the 19th-century poet and critic Johan Sebastian Welhaven.
-
B.
Sugarville
Sugarville is a small unincorporated community located in rural Millard County in western Utah.
-
C.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
-
D.
Allapattah
Allapattah is a diverse, historically working-class neighborhood in Miami, Florida, known for its strong Dominican community, industrial areas, and proximity to downtown.
-
E.
Levee Green
Levee Green is an ambitious, hot-headed young trumpeter whose clashes with bandmates and white producers drive the central conflict in August Wilson’s play "Ma Rainey’s Black Bottom."
- 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: Openshaw Triple: [Clayton, adjacentTo, Openshaw]
Generated description
Openshaw is an inner-city district of Manchester, England, known for its industrial heritage and residential neighborhoods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Openshaw Target entity description: Openshaw is an inner-city district of Manchester, England, known for its industrial heritage and residential neighborhoods.
-
A.
Welhaven
Welhaven is a Norwegian surname most notably associated with the 19th-century poet and critic Johan Sebastian Welhaven.
-
B.
Sugarville
Sugarville is a small unincorporated community located in rural Millard County in western Utah.
-
C.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
-
D.
Allapattah
Allapattah is a diverse, historically working-class neighborhood in Miami, Florida, known for its strong Dominican community, industrial areas, and proximity to downtown.
-
E.
Levee Green
Levee Green is an ambitious, hot-headed young trumpeter whose clashes with bandmates and white producers drive the central conflict in August Wilson’s play "Ma Rainey’s Black Bottom."
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505d23d88190a638f2cc2acee9ee |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c657b08190b96135c34622e559 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5bba7859481909e2afe21774dc599 |
completed | March 14, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5bc5f26508190b333ec09c517f7c8 |
completed | March 14, 2026, 7:51 p.m. |
Created at: March 12, 2026, 11:07 p.m.