Triple
T11433956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganjin |
E270956
|
entity |
| Predicate | madeMultipleAttemptsToReachJapan |
P99279
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ganjin, madeMultipleAttemptsToReachJapan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeMultipleAttemptsToReachJapan Context triple: [Ganjin, madeMultipleAttemptsToReachJapan, true]
-
A.
returnedToJapan
Indicates that an entity went back to Japan after having been away.
-
B.
wasTriedAt
Indicates that a legal case or judicial proceeding involving an entity took place at a specific court or location.
-
C.
endTimeAsAmbassadorToJapan
Indicates the date and time when an individual's tenure or service as ambassador to Japan concludes.
-
D.
wasTriedBy
Indicates that a legal case or charge involving an entity was examined and judged in a trial conducted by another entity (such as a court or judge).
-
E.
movedToHokkaido
Indicates that an entity changed their place of residence or primary location to Hokkaido.
- F. None of above. chosen
Provenance (4 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c485f481909dd3d9b0993f3faf |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.