Triple

T13685995
Position Surface form Disambiguated ID Type / Status
Subject William B. Franklin E328126 entity
Predicate rankingInClass P6220 FINISHED
Object first in his class at the United States Military Academy 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: first in his class at the United States Military Academy | Statement: [William B. Franklin, rankingInClass, first in his class at the United States Military Academy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingInClass
Context triple: [William B. Franklin, rankingInClass, first in his class at the United States Military Academy]
  • A. rankComparedTo
    Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
  • B. attendanceRank
    Indicates the relative position or level of an entity in terms of how frequently or consistently it attends compared to others.
  • C. rankedAmong chosen
    Indicates that an entity holds a specific position or status within a defined group, list, or hierarchy of comparable entities.
  • D. isRanked
    Indicates that an entity has been assigned a position or level within an ordered hierarchy or comparative list.
  • E. rankGrade
    Indicates the grade or level assigned to an entity within a ranking or evaluation system.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69dbbe9059488190a8113177c83e1481 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:53 p.m.