Triple

T32430447
Position Surface form Disambiguated ID Type / Status
Subject Chinese Academy of Sciences University E828705 entity
Predicate researchIntegration P174073 FINISHED
Object closely integrated with CAS research system 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: closely integrated with CAS research system | Statement: [Chinese Academy of Sciences University, researchIntegration, closely integrated with CAS research system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: researchIntegration
Context triple: [Chinese Academy of Sciences University, researchIntegration, closely integrated with CAS research system]
  • A. researchAccess
    Indicates that one entity is permitted to access, use, or retrieve another entity specifically for research-related purposes.
  • B. researchValue
    Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
  • C. researchComponent
    Indicates that an entity functions as a part or element within a broader research activity, project, or study.
  • D. researchOperator
    Indicates that an entity conducts, manages, or is responsible for carrying out research activities on or for another entity.
  • E. researchModel
    Indicates that an entity systematically investigates, develops, or analyzes a model as part of a research process.
  • 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_69f3491b28bc8190b75cea7a507f337b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c2ae4f388190b97bfca23ce5ddcd completed May 3, 2026, 3:36 a.m.
PD Predicate disambiguation batch_69f6ba6eb32c8190bf405b2011fa48f7 completed May 3, 2026, 3:01 a.m.
PDg Predicate description generation batch_69f6bb344bb48190a8089f29c0063ded completed May 3, 2026, 3:04 a.m.
Created at: May 1, 2026, 12:55 a.m.