Triple
T5437316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Southeast Portland |
E122040
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object |
Kerns
Kerns is a mixed residential and commercial neighborhood in inner east Portland, Oregon, known for its historic homes, local eateries, and proximity to downtown.
|
E519225
|
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: Kerns | Statement: [Inner Southeast Portland, containsNeighborhood, Kerns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerns Context triple: [Inner Southeast Portland, containsNeighborhood, Kerns]
-
A.
Karns
Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
-
B.
Kern
Kern is a surname most famously associated with Jerome Kern, the pioneering American composer of early 20th-century musical theatre and popular song.
-
C.
Kerzers
Kerzers is a municipality in the canton of Fribourg in western Switzerland, known for its bilingual character and proximity to the Papiliorama butterfly and tropical gardens.
-
D.
Kehler
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
-
E.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
- 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: Kerns Triple: [Inner Southeast Portland, containsNeighborhood, Kerns]
Generated description
Kerns is a mixed residential and commercial neighborhood in inner east Portland, Oregon, known for its historic homes, local eateries, and proximity to downtown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerns Target entity description: Kerns is a mixed residential and commercial neighborhood in inner east Portland, Oregon, known for its historic homes, local eateries, and proximity to downtown.
-
A.
Karns
Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
-
B.
Kern
Kern is a surname most famously associated with Jerome Kern, the pioneering American composer of early 20th-century musical theatre and popular song.
-
C.
Kerzers
Kerzers is a municipality in the canton of Fribourg in western Switzerland, known for its bilingual character and proximity to the Papiliorama butterfly and tropical gardens.
-
D.
Kehler
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
-
E.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91bb51d48190aab340d8d25e9a9a |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ad3a3d88190bacde12f515d9971 |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3ba6784081908b19717290b7ba3d |
completed | March 22, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3c1ad4d8819093aeb94f62eb1086 |
completed | March 22, 2026, 12:47 a.m. |
Created at: March 20, 2026, 2:07 p.m.