Triple
T11877425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkeley County |
E282563
|
entity |
| Predicate | containsCommunity |
P8617
|
FINISHED |
| Object |
Union Corner
Union Corner is a small unincorporated community located in Berkeley County, West Virginia.
|
E951849
|
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: Union Corner | Statement: [Berkeley County, containsCommunity, Union Corner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Corner Context triple: [Berkeley County, containsCommunity, Union Corner]
-
A.
Staples Corner
Staples Corner is a major road junction in north-west London where the North Circular Road, A5 Edgware Road, and the M1 motorway converge.
-
B.
Cornerstone Square
Cornerstone Square is a major retail and commercial shopping center located in Westford, Massachusetts.
-
C.
Tremont
Tremont is a low-power x86 CPU microarchitecture by Intel designed to improve performance and efficiency in Atom-based processors for mobile, embedded, and low-cost computing devices.
-
D.
Tremont
Tremont is a historic, artsy neighborhood in Cleveland known for its restored Victorian homes, vibrant dining scene, and cultural festivals.
-
E.
Tremont
Tremont is a small coastal town on Mount Desert Island in Maine known for its working harbors and quieter, less-touristed character compared to nearby Bar Harbor.
- 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: Union Corner Triple: [Berkeley County, containsCommunity, Union Corner]
Generated description
Union Corner is a small unincorporated community located in Berkeley County, West Virginia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Union Corner Target entity description: Union Corner is a small unincorporated community located in Berkeley County, West Virginia.
-
A.
Staples Corner
Staples Corner is a major road junction in north-west London where the North Circular Road, A5 Edgware Road, and the M1 motorway converge.
-
B.
Cornerstone Square
Cornerstone Square is a major retail and commercial shopping center located in Westford, Massachusetts.
-
C.
Tremont
Tremont is a low-power x86 CPU microarchitecture by Intel designed to improve performance and efficiency in Atom-based processors for mobile, embedded, and low-cost computing devices.
-
D.
Tremont
Tremont is a historic, artsy neighborhood in Cleveland known for its restored Victorian homes, vibrant dining scene, and cultural festivals.
-
E.
Tremont
Tremont is a small coastal town on Mount Desert Island in Maine known for its working harbors and quieter, less-touristed character compared to nearby Bar Harbor.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281d8c65081908ebaf4bff5670c47 |
completed | April 29, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69f2b8b73f28819089ac252f7f823efb |
completed | April 30, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f2c4120f448190ac0ac944e77cb20e |
completed | April 30, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.