Triple
T11755928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academia Sinica |
E279523
|
entity |
| Predicate | academiciansElectedEvery |
P101192
|
FINISHED |
| Object | two years |
—
|
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: two years | Statement: [Academia Sinica, academiciansElectedEvery, two years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academiciansElectedEvery Context triple: [Academia Sinica, academiciansElectedEvery, two years]
-
A.
electedFellowOf
Indicates that an individual has been formally chosen and granted the status of fellow by a particular organization or institution.
-
B.
recognizedAsNationalAcademyOfSciencesSince
Indicates that an entity has held the status of being recognized as a National Academy of Sciences member or institution starting from a specified point in time.
-
C.
typicalNumberOfLaureatesPerCycle
Indicates the usual or average number of laureates associated with each award cycle or iteration.
-
D.
typicalNumberOfLaureatesPerYear
Indicates the usual or average number of laureates associated with a given award or context in a single year.
-
E.
isNationalAcademyOf
Indicates that an organization is the official national academy representing a country in a particular field or set of disciplines.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50c8d708190ad79ecb57b715d04 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890467a2481909ce6c669e739c8de |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.