Triple

T10693098
Position Surface form Disambiguated ID Type / Status
Subject Tembusu College E252059 entity
Predicate admitsFrom P95320 FINISHED
Object multiple NUS faculties and schools 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: multiple NUS faculties and schools | Statement: [Tembusu College, admitsFrom, multiple NUS faculties and schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: admitsFrom
Context triple: [Tembusu College, admitsFrom, multiple NUS faculties and schools]
  • A. admittedInitiatesFrom
    Indicates that an admission event initiates or originates from a particular source, cause, or prior action.
  • B. admittedEntity
    Indicates that one entity has been formally accepted, received, or allowed entry by another entity (such as an institution, organization, or location).
  • C. acceptedIn
    Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
  • D. admitted
    Indicates that one entity has formally accepted, acknowledged, or allowed another entity or fact, often into a place, group, or state.
  • E. admittedTo
    Indicates that one entity has been formally accepted, enrolled, or granted entry into another entity, such as an institution, program, or facility.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd38c24c8190a105a9dfdf705b38 completed April 9, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69d6dd8cc0788190b4c02a772e4b58b3 completed April 8, 2026, 10:58 p.m.
PDg Predicate description generation batch_69d6df47899481909ac0e518d94883cb completed April 8, 2026, 11:05 p.m.
Created at: April 8, 2026, 9:11 p.m.