Triple
T12792549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Karakoram expedition 1958 |
E305804
|
entity |
| Predicate | expeditionLeaderNationality |
P105423
|
FINISHED |
| Object | Italian |
—
|
LITERAL 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: Italian | Statement: [Italian Karakoram expedition 1958, expeditionLeaderNationality, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expeditionLeaderNationality Context triple: [Italian Karakoram expedition 1958, expeditionLeaderNationality, Italian]
-
A.
nationalityOfExpedition
Indicates the country or national affiliation associated with a given expedition.
-
B.
expeditionMemberOf
Indicates that an entity participates as a member in a specific expedition.
-
C.
countryOfExploration
Indicates the country under whose auspices or within whose territory an exploration activity was conducted.
-
D.
expeditionPatron
Indicates that an entity financially supports or sponsors an expedition or exploratory venture.
-
E.
leaderNationality
chosen
Indicates that a leader has a specific national affiliation or citizenship.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.