Triple
T22927975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 釣魚臺列嶼 |
E569360
|
entity |
| Predicate | 人口狀況 |
P28910
|
FINISHED |
| Object | 無常住居民 |
—
|
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: 無常住居民 | Statement: [釣魚臺列嶼, 人口狀況, 無常住居民]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 人口狀況 Context triple: [釣魚臺列嶼, 人口狀況, 無常住居民]
-
A.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
B.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
C.
permanentPopulation
chosen
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
D.
keyPopulation
Indicates that the referenced entity belongs to a specific key population group that is of particular importance or priority in a given context (e.g., public health, policy, or services).
-
E.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180db6db88190bc8efb691dcdfdba |
completed | April 29, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:43 p.m.