Triple
T7782018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keene, California |
E221542
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Wells
Wells is the former name of the community now known as Keene in Kern County, California.
|
E693352
|
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: Wells | Statement: [Keene, California, originalName, Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wells Context triple: [Keene, California, originalName, Wells]
-
A.
Wells
Wells is a small city in northeastern Nevada known as a historic railroad and travel junction near the intersection of Interstate 80 and U.S. Route 93.
-
B.
Wells
Wells is a common English surname borne by numerous notable individuals across literature, politics, science, and the arts.
-
C.
Malvern Wells
Malvern Wells is a village and civil parish in Worcestershire, England, situated on the eastern slopes of the Malvern Hills and known for its scenic countryside and historic spa heritage.
-
D.
Wells, Somerset
Wells, Somerset is a historic cathedral city in southwest England, renowned for its medieval architecture and status as one of the smallest cities in the UK.
-
E.
Winsor
Winsor is an English-language surname borne by various notable individuals, including figures in science, the arts, and public life.
- 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: Wells Triple: [Keene, California, originalName, Wells]
Generated description
Wells is the former name of the community now known as Keene in Kern County, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wells Target entity description: Wells is the former name of the community now known as Keene in Kern County, California.
-
A.
Wells
Wells is a common English surname borne by numerous notable individuals across literature, politics, science, and the arts.
-
B.
Wells
Wells is a small city in northeastern Nevada known as a historic railroad and travel junction near the intersection of Interstate 80 and U.S. Route 93.
-
C.
Malvern Wells
Malvern Wells is a village and civil parish in Worcestershire, England, situated on the eastern slopes of the Malvern Hills and known for its scenic countryside and historic spa heritage.
-
D.
Wells, Somerset
Wells, Somerset is a historic cathedral city in southwest England, renowned for its medieval architecture and status as one of the smallest cities in the UK.
-
E.
Winsor
Winsor is an English-language surname borne by various notable individuals, including figures in science, the arts, and public life.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cadf1dcc6c8190b3c6ee4ff7808e02 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5d30c748190bbb71534cfdf4f75 |
completed | March 30, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69caf81ebde881909bd131da8987b449 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa013f348190a2067dee4a0c8c40 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:21 p.m.