Triple
T28590074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Liao |
E723615
|
entity |
| Predicate | maintainedChineseInstitutions |
P32250
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Western Liao, maintainedChineseInstitutions, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maintainedChineseInstitutions Context triple: [Western Liao, maintainedChineseInstitutions, Yes]
-
A.
maintainedInstitution
Indicates that one entity is responsible for operating, supporting, or keeping another institution in working order over time.
-
B.
culturalInstitutionsUnderAuthority
chosen
Indicates that certain cultural institutions operate under the control, supervision, or jurisdiction of a specified authority.
-
C.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
D.
institutes
Indicates that an entity establishes, initiates, or formally sets up another entity, process, or system.
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 28, 2026, 4:19 a.m.