Triple
T20280802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmonds, Washington |
E503134
|
entity |
| Predicate | hasDesignation |
P974
|
FINISHED |
| Object | Tree City USA |
—
|
NE NERFINISHED |
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: Tree City USA | Statement: [Edmonds, Washington, hasDesignation, Tree City USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tree City USA Context triple: [Edmonds, Washington, hasDesignation, Tree City USA]
-
A.
Tree City USA
chosen
Tree City USA is a national recognition program by the Arbor Day Foundation that honors cities and towns for their commitment to effective urban forest management and tree care.
-
B.
Bell City
Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
-
C.
Metro City
Metro City is a fictional, crime-ridden American metropolis featured as the primary location in Capcom’s beat ’em up video game series Final Fight.
-
D.
Metro City
Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
-
E.
Spring City
Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768e9f0881909c8fe8772dafd468 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:38 a.m.