Triple
T14733709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dewey County |
E346144
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Seiling |
E208843
|
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: Seiling | Statement: [Dewey County, hasCommunity, Seiling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seiling Context triple: [Dewey County, hasCommunity, Seiling]
-
A.
Seiling
chosen
Seiling is a small rural city in Dewey County, northwestern Oklahoma, known historically as a farming and ranching community.
-
B.
Segel
Segel is the surname of American actor, comedian, and screenwriter Jason Segel, known for his roles in "How I Met Your Mother" and various Judd Apatow–produced films.
-
C.
Segeltorp
Segeltorp is a suburban district in the southern part of the Stockholm urban area, located within Huddinge Municipality in Sweden.
-
D.
Wilhelmina Rise
Wilhelmina Rise is a steep residential neighborhood in Honolulu, Hawaii, known for its hillside homes and panoramic views over the city and ocean.
-
E.
Sandeen
Sandeen is a surname most notably associated with Cathy A. Sandeen, an American academic administrator and university leader.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8bcc188190901e3f692fd8fbf9 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.