Triple
T3616791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alsea, Oregon |
E76620
|
entity |
| Predicate | hasSchool |
P113
|
FINISHED |
| Object |
Alsea School
Alsea School is a small public K–12 school serving students in the rural community of Alsea in western Oregon.
|
E373868
|
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: Alsea School | Statement: [Alsea, Oregon, hasSchool, Alsea School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alsea School Context triple: [Alsea, Oregon, hasSchool, Alsea School]
-
A.
Salemwood School
Salemwood School is a public educational institution in Malden, Massachusetts, serving elementary and middle school students within the Malden Public Schools district.
-
B.
Alderwood School
Alderwood School is a coeducational secondary school serving the town of Aldershot in Hampshire, England.
-
C.
Melville High School
Melville High School is a secondary school located in Kempsey, New South Wales, Australia.
-
D.
Lakeside School
Lakeside School is a prestigious private preparatory school in Seattle, Washington, known for its rigorous academics and notable alumni including tech and business leaders.
-
E.
Lloyd Harbor School
Lloyd Harbor School is a public elementary school serving students in the affluent residential community of Lloyd Harbor on Long Island, New York.
- 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: Alsea School Triple: [Alsea, Oregon, hasSchool, Alsea School]
Generated description
Alsea School is a small public K–12 school serving students in the rural community of Alsea in western Oregon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alsea School Target entity description: Alsea School is a small public K–12 school serving students in the rural community of Alsea in western Oregon.
-
A.
Salemwood School
Salemwood School is a public educational institution in Malden, Massachusetts, serving elementary and middle school students within the Malden Public Schools district.
-
B.
Alderwood School
Alderwood School is a coeducational secondary school serving the town of Aldershot in Hampshire, England.
-
C.
Melville High School
Melville High School is a secondary school located in Kempsey, New South Wales, Australia.
-
D.
Lakeside School
Lakeside School is a prestigious private preparatory school in Seattle, Washington, known for its rigorous academics and notable alumni including tech and business leaders.
-
E.
Lloyd Harbor School
Lloyd Harbor School is a public elementary school serving students in the affluent residential community of Lloyd Harbor on Long Island, New York.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27c98088190a493c9eddf6b206a |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331a82688190add137b1f68c955e |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b438135e8c81909c56e1c04499268b |
completed | March 13, 2026, 4:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4388a1ecc81908e1de9f8bcfc008d |
completed | March 13, 2026, 4:17 p.m. |
Created at: March 8, 2026, 3:23 p.m.