Triple
T28323715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Wen of Jin |
E717349
|
entity |
| Predicate | exileCountriesVisited |
P64380
|
FINISHED |
| Object | State of Di |
—
|
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: State of Di | Statement: [Duke Wen of Jin, exileCountriesVisited, State of Di]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exileCountriesVisited Context triple: [Duke Wen of Jin, exileCountriesVisited, State of Di]
-
A.
exileCountry
chosen
Indicates that an entity has been banished from or forced to live outside a specified country.
-
B.
visitedCountry
Indicates that an entity has traveled to and spent time in a particular country.
-
C.
madeExpeditionsTo
Indicates that an entity undertook one or more exploratory or travel expeditions to a specified destination or location.
-
D.
visitedConstituentCountry
Indicates that one entity has traveled to and spent time in a country that is part of a larger sovereign state or political union.
-
E.
numberOfCountriesVisited
Indicates the total count of distinct countries that an entity has visited.
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 12:26 a.m.