Triple
T15476410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 龍山寺 |
E376790
|
entity |
| Predicate | 所在國家文化資產身分 |
P9473
|
FINISHED |
| Object | 國定古蹟 |
—
|
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: 國定古蹟 | Statement: [龍山寺, 所在國家文化資產身分, 國定古蹟]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所在國家文化資產身分 Context triple: [龍山寺, 所在國家文化資產身分, 國定古蹟]
-
A.
hasCulturalProtection
Indicates that an entity is subject to legal or formal measures intended to preserve and safeguard its cultural value or heritage.
-
B.
culturalHeritageRecognizedBy
Indicates that an entity’s cultural heritage status has been formally acknowledged or designated by a specific recognizing authority or organization.
-
C.
hasImportantCulturalProperty
Indicates that an entity is recognized or designated as having significant cultural value or heritage importance.
-
D.
hasCulturalProperty
Indicates that something possesses or is associated with a cultural attribute, value, or characteristic.
-
E.
culturalDesignation
chosen
Indicates that an entity has been assigned a particular cultural status, label, or classification within a specific cultural or heritage context.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:34 a.m.