Triple
T7973620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rice Lake |
E185386
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Keene
Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
|
E702614
|
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: Keene | Statement: [Rice Lake, hasNearbySettlement, Keene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keene Context triple: [Rice Lake, hasNearbySettlement, Keene]
-
A.
Keene
Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
-
B.
Keene, New York
Keene, New York is a small town in the Adirondack Mountains known for its scenic wilderness, hiking trails, and outdoor recreation opportunities.
-
C.
Seymour
Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
-
D.
Seymour
Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
-
E.
Seymour
Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
- 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: Keene Triple: [Rice Lake, hasNearbySettlement, Keene]
Generated description
Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keene Target entity description: Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
-
A.
Keene
Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
-
B.
Keene, New York
Keene, New York is a small town in the Adirondack Mountains known for its scenic wilderness, hiking trails, and outdoor recreation opportunities.
-
C.
Seymour
Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
-
D.
Seymour
Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
-
E.
Seymour
Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf319648190a900b133d58bd02b |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0bb089881909d3ec17a3330ce25 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cbe43c4d2081909a8f5763252d88f1 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc193e73cc819085797ef363a37079 |
completed | March 31, 2026, 6:58 p.m. |
Created at: March 30, 2026, 5:13 p.m.