Triple
T8876691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otsego County |
E211302
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Otsego |
E106101
|
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: Otsego | Statement: [Otsego County, contains, Otsego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otsego Context triple: [Otsego County, contains, Otsego]
-
A.
Otsego
chosen
Otsego is a small city in southwestern Michigan known historically for its paper mills and location along the Kalamazoo River.
-
B.
Odiongan
Odiongan is a coastal municipality on Tablas Island in Romblon province, Philippines, serving as a local commercial and transportation hub in the region.
-
C.
Vilas
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
-
D.
Mattawa
Mattawa is a small town in northeastern Ontario, Canada, located at the confluence of the Mattawa and Ottawa Rivers and known historically as a key fur trade and logging route.
-
E.
Houghton
Houghton is a wealthy, historically significant suburb of Johannesburg, South Africa, known for being the longtime home of Nelson Mandela.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61472cc081909e51b4a35a20ef43 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfaba6f2f481909a30f71e96bc9079 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:52 p.m.