Triple
T9810804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Issaquah High School |
E238264
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Issaquah |
E174031
|
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: Issaquah | Statement: [Issaquah High School, cityServed, Issaquah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Issaquah Context triple: [Issaquah High School, cityServed, Issaquah]
-
A.
Issaquah
chosen
Issaquah is a small city in Washington State known for its scenic setting between the Issaquah Alps, outdoor recreation opportunities, and historic downtown.
-
B.
Qualicum
Qualicum is a residential neighbourhood in the former city of Nepean, now part of Ottawa, Ontario, known for its suburban character and proximity to parks and schools.
-
C.
Wellamo
Wellamo is an alternative name for the Wolaytta language spoken by the Wolaytta people of southern Ethiopia.
-
D.
Nowshak
Nowshak is the highest mountain in Afghanistan and the second-highest peak in the Hindu Kush range.
-
E.
Ohanapecosh
Ohanapecosh is a lush river valley and campground area in the southeastern part of Mount Rainier National Park, known for its old-growth forests, clear turquoise waters, and scenic hiking trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2214a7c8190b516acf64e2b85db |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc5f768c8190987aaa7164f42444 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:30 p.m.