Triple
T36759542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Yang-Ming University |
E908154
|
entity |
| Predicate | partnerInstitutionInMerger |
P6600
|
FINISHED |
| Object | National Chiao Tung University |
—
|
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: National Chiao Tung University | Statement: [National Yang-Ming University, partnerInstitutionInMerger, National Chiao Tung University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInstitutionInMerger Context triple: [National Yang-Ming University, partnerInstitutionInMerger, National Chiao Tung University]
-
A.
mergerPartner
chosen
Indicates that two entities are involved as counterparties in a merger transaction with each other.
-
B.
affiliationAfterMerger
Indicates that an entity becomes affiliated with another entity as a result of a merger that occurs after a specified point in time.
-
C.
acquisitionPartner
Indicates a relationship where one entity collaborates with or assists another in acquiring a third entity, asset, or resource.
-
D.
affiliationBeforeMerger
Indicates that an entity was affiliated with another entity prior to a merger event involving one or both of them.
-
E.
mergedInstitution
Indicates that one institution has combined with another to form a single, unified institution.
- 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:12 p.m.