Triple
T32546020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazariyama |
E831848
|
entity |
| Predicate | constructionFrequency |
P190687
|
FINISHED |
| Object | rebuilt or redesigned annually |
—
|
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: rebuilt or redesigned annually | Statement: [Kazariyama, constructionFrequency, rebuilt or redesigned annually]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionFrequency Context triple: [Kazariyama, constructionFrequency, rebuilt or redesigned annually]
-
A.
constructionTime
Indicates the duration or specific point in time required to construct or build an entity.
-
B.
constructionPhase
Indicates the specific stage or period an entity is in within an overall construction or building process.
-
C.
constructionPeakPeriod
Indicates the time interval during which construction activity reaches its highest intensity or volume.
-
D.
constructionDirection
Indicates the orientation or path along which a structure is built or assembled.
-
E.
constructionLabor
Indicates a relationship where an entity performs or provides labor specifically for construction-related work or projects.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: May 1, 2026, 1:02 a.m.