Triple
T29530834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nacotchtanke |
E749196
|
entity |
| Predicate | countryInThePresent |
P21984
|
FINISHED |
| Object | United States of America |
—
|
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: United States of America | Statement: [Nacotchtanke, countryInThePresent, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryInThePresent Context triple: [Nacotchtanke, countryInThePresent, United States of America]
-
A.
countryCurrently
chosen
Indicates that an entity is presently located in or associated with a specific country.
-
B.
countryIn
Indicates that one entity is geographically or politically located within the boundaries of a specified country.
-
C.
countryAtTheTime
Indicates that an entity is associated with a specific country as it existed at a particular point in time.
-
D.
countryOn
Indicates that one country is located on or occupies the territory of another geographic entity (such as a larger region, continent, or island).
-
E.
countryInWorld
Indicates that a country is located within and is a member of the world as a whole.
- F. None of above.
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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: April 28, 2026, 4:52 p.m.