Triple
T15476411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 龍山寺 |
E376790
|
entity |
| Predicate | 文化資產等級 |
P101822
|
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, 文化資產等級, 國定古蹟]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文化資產等級 Context triple: [龍山寺, 文化資產等級, 國定古蹟]
-
A.
landmarkDesignationLevel
chosen
Indicates the specific level or category of official landmark status that has been assigned to an entity.
-
B.
heritageStatus
Indicates that an entity holds a particular cultural, historical, or natural heritage designation or protection status.
-
C.
hasImportantCulturalProperty
Indicates that an entity is recognized or designated as having significant cultural value or heritage importance.
-
D.
culturalDesignation
Indicates that an entity has been assigned a particular cultural status, label, or classification within a specific cultural or heritage context.
-
E.
heritageDesignationSystem
Indicates the formal heritage classification or protection system under which an entity has been designated.
- 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.