Triple

T70813
Position Surface form Disambiguated ID Type / Status
Subject FJCC E1417 entity
Predicate abbreviation P43 FINISHED
Object FJCC E1417 NE 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: FJCC | Statement: [FJCC, abbreviation, FJCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FJCC
Context triple: [FJCC, abbreviation, FJCC]
  • A. FJCC chosen
    FJCC was a major mid-20th-century U.S. computing conference that served as a key forum for presenting influential research and developments in computer science and technology.
  • B. FCS
    FCS is the NCAA Division I Football Championship Subdivision, the tier of top-level college football that determines its national champion through a playoff system rather than traditional bowl games.
  • C. SCC
    SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
  • D. CHOP
    CHOP is a leading pediatric hospital and research institution in Philadelphia renowned for its specialized care for children and groundbreaking medical research.
  • E. CCC
    The CCC, or Civilian Conservation Corps, was a New Deal work relief program in the United States during the 1930s and early 1940s that employed young men in conservation and public works projects such as reforestation, park development, and soil erosion control.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f0578808190be793d7a161c2cf5 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2554ffb8c8190a30aceecd7f30d96 completed Feb. 28, 2026, 2:39 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.