Triple
T26835932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethel School District No. 403 |
E675630
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Graham-Kapowsin High School
Graham-Kapowsin High School is a public secondary school located in Graham, Washington, serving students in the surrounding Pierce County communities.
|
E1790296
|
NE FINISHED |
How this triple was built (2 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: Graham-Kapowsin High School | Statement: [Bethel School District No. 403, operates, Graham-Kapowsin High School]
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: Graham-Kapowsin High School Triple: [Bethel School District No. 403, operates, Graham-Kapowsin High School]
Generated description
Graham-Kapowsin High School is a public secondary school located in Graham, Washington, serving students in the surrounding Pierce County communities.
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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61b42ed0c8190b60704546086ec13 |
completed | May 2, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12f6f8014481909c7352b6a9cd7e50 |
completed | May 24, 2026, 1:02 p.m. |
| NEDg | Description generation | batch_6a12f79fed1c81908af492a3fd35f82d |
completed | May 24, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12fb9650c08190a7ebdbf509b4176b |
completed | May 24, 2026, 1:22 p.m. |
Created at: April 27, 2026, 5:04 a.m.