Triple
T33168485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishi-Ikebukuro |
E848959
|
entity |
| Predicate | positionWithinIkebukuro |
P198658
|
FINISHED |
| Object | western part |
—
|
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: western part | Statement: [Nishi-Ikebukuro, positionWithinIkebukuro, western part]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinIkebukuro Context triple: [Nishi-Ikebukuro, positionWithinIkebukuro, western part]
-
A.
locatedInDirectionFromTokyo
Indicates that one place is situated in a specified compass direction relative to Tokyo.
-
B.
positionInJapanese
Indicates that one entity occupies a specific position or rank within a Japanese ordering, sequence, or structure.
-
C.
positionOnHonshu
Indicates that one entity is geographically located on the island of Honshu in Japan.
-
D.
positionInShikokuPilgrimage
Indicates the specific sequential position an entity holds along the route of the Shikoku pilgrimage.
-
E.
locatedInPrefectureCapitalRegion
Indicates that the subject is geographically situated within the capital region of a given prefecture.
- 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_69f3495be8808190bbf427733df08aad |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
| PDg | Predicate description generation | batch_69fefa05757481908fa38f5c604afbbe |
completed | May 9, 2026, 9:10 a.m. |
Created at: May 1, 2026, 1:28 a.m.