Triple
T27823547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of China presidential elections |
E702885
|
entity |
| Predicate | commonNameCountry |
P182829
|
FINISHED |
| Object | Taiwan |
—
|
NE NERFINISHED |
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: Taiwan | Statement: [Republic of China presidential elections, commonNameCountry, Taiwan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonNameCountry Context triple: [Republic of China presidential elections, commonNameCountry, Taiwan]
-
A.
commonName
Indicates that one entity is the commonly used or vernacular name by which the other entity is known.
-
B.
usedNameOfCountry
Indicates that one entity referred to or employed a particular name or designation for a country.
-
C.
commonNameOf
Indicates that one entity is the commonly used or popular name by which the other entity is known.
-
D.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
-
E.
associatedCountryOfficialName
Indicates that an entity is linked to the official, formal name of a specific country with which it is associated.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: April 27, 2026, 5:50 p.m.