Triple

T65920
Position Surface form Disambiguated ID Type / Status
Subject March Meeting E1313 entity
Predicate typicalAttendance P2636 FINISHED
Object thousands of researchers 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: thousands of researchers | Statement: [March Meeting, typicalAttendance, thousands of researchers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalAttendance
Context triple: [March Meeting, typicalAttendance, thousands of researchers]
  • A. attendance chosen
    Indicates the relationship between an event and the people who are present at or participate in that event.
  • B. typicalSchedule
    Indicates the usual or standard timing and sequence of activities or events associated with an entity.
  • C. typicalMembers
    Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
  • D. typicalHeight
    Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
  • E. seasonTypicalStartMonth
    Indicates the calendar month in which a particular season usually begins.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a2516eda54819090f5c14384d4eab1 completed Feb. 28, 2026, 2:22 a.m.
PD Predicate disambiguation batch_69a24ea5c140819080409a968c8d2ce8 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.