Triple
T11568271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami |
E274310
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Kekionga |
E336115
|
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: Kekionga | Statement: [Miami, associatedWithPlace, Kekionga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kekionga Context triple: [Miami, associatedWithPlace, Kekionga]
-
A.
Kekionga
chosen
Kekionga was a major Miami Indian village and strategic stronghold near present-day Fort Wayne, Indiana, that served as a key focal point of conflict between Native American nations and the United States in the late 18th century.
-
B.
Kewadin
Kewadin is a small unincorporated community in northern Michigan known for its rural setting near the shores of Grand Traverse Bay.
-
C.
Sheguiandah
Sheguiandah is a small community on Manitoulin Island in Ontario, Canada, known for its nearby archaeological site and scenic natural surroundings.
-
D.
Zunheboto
Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
-
E.
Kapuskasing
Kapuskasing is a small town in northern Ontario, Canada, known historically for its pulp and paper industry and its location along the Kapuskasing River.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd4305c8190ac5ff490b6b63e12 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713bcc0048190bec14ac4ab84d51d |
completed | April 21, 2026, 6:05 a.m. |
Created at: April 8, 2026, 9:37 p.m.