Triple
T29759691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick Cook’s 1907–1909 Arctic expedition |
E753726
|
entity |
| Predicate | countryOfOriginOfLeader |
P100456
|
FINISHED |
| Object | United States |
—
|
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 | Statement: [Frederick Cook’s 1907–1909 Arctic expedition, countryOfOriginOfLeader, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfLeader Context triple: [Frederick Cook’s 1907–1909 Arctic expedition, countryOfOriginOfLeader, United States]
-
A.
countryOfOriginOfNotableLeader
chosen
Indicates the country from which a notable leader originates or is associated as their place of origin.
-
B.
originCountryLeader
Indicates that one entity is the political leader (e.g., head of state or government) of the country from which the other entity originates.
-
C.
hasCountryLeader
Indicates that a specified country is led or governed by a particular leader (such as a president, prime minister, or monarch).
-
D.
countryLeaderOf
Indicates that one entity serves as the head of state or government of the specified country.
-
E.
namedAfterCountryLeaderOf
Indicates that one entity is named after a person who is or was the leader of a specific country.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
Created at: April 28, 2026, 8:31 p.m.