Triple

T25782135
Position Surface form Disambiguated ID Type / Status
Subject Common Entrance Examination E649317 entity
Predicate marksDetermine P159258 FINISHED
Object eligibility for entry to specific 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: eligibility for entry to specific schools | Statement: [Common Entrance Examination, marksDetermine, eligibility for entry to specific schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marksDetermine
Context triple: [Common Entrance Examination, marksDetermine, eligibility for entry to specific schools]
  • A. marks
    Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
  • B. marksOn
    Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
  • C. marked
    Indicates that one entity has been identified, labeled, or highlighted in some way by another entity.
  • D. markType
    Indicates the specific category or kind of mark associated with or applied to an entity.
  • E. reportedMarks
    Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
  • 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_69e7ab33e9308190afe415dc6f9e8876 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fe6175048190afd845628c74830e completed May 2, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69f4938b960081909b53c074a3e0c7c2 completed May 1, 2026, 11:50 a.m.
PDg Predicate description generation batch_69f497b8abb88190bb672cf6907c4b8d completed May 1, 2026, 12:08 p.m.
Created at: April 22, 2026, 5:51 a.m.