Triple
T34148640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shizunai District |
E875933
|
entity |
| Predicate | formerTown |
P201517
|
FINISHED |
| Object | Shizunai |
—
|
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: Shizunai | Statement: [Shizunai District, formerTown, Shizunai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerTown Context triple: [Shizunai District, formerTown, Shizunai]
-
A.
formerCity
Indicates that an entity was once recognized as a city but no longer holds that status.
-
B.
fromTown
Indicates that one entity originates from, or is associated as being from, a particular town represented by the other entity.
-
C.
formerCommunity
Indicates that an entity previously belonged to or was part of a particular community but is no longer a member of it.
-
D.
formerNeighborhood
Indicates that an entity was previously located in or associated with a particular neighborhood but is no longer situated there.
-
E.
formerMainSettlement
Indicates that a location was previously the primary or most important settlement of a given area, but no longer holds that status.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffff262fac8190a26ed0577e1860bd |
completed | May 10, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69fffcad7d7c8190a4ad7bb35e33bb75 |
completed | May 10, 2026, 3:34 a.m. |
| PDg | Predicate description generation | batch_69ffff2533248190ac291f5f2e858320 |
completed | May 10, 2026, 3:44 a.m. |
Created at: May 1, 2026, 1:54 a.m.