Triple
T11309835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 樟葉駅 |
E267807
|
entity |
| Predicate | 構造 |
P50946
|
FINISHED |
| Object | 高架駅 |
—
|
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: 高架駅 | Statement: [樟葉駅, 構造, 高架駅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 構造 Context triple: [樟葉駅, 構造, 高架駅]
-
A.
builtStructureFor
Indicates that one entity constructed or assembled a structure specifically intended for the use, benefit, or purpose of another entity.
-
B.
buildingStructure
chosen
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
-
C.
constructs
Indicates that an agent builds, creates, or assembles something, typically resulting in a new or more complex entity or structure.
-
D.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
-
E.
structuralAmbition
Indicates an entity’s intention or effort to change, shape, or influence an existing structure, system, or organizational framework.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.