Triple

T14062541
Position Surface form Disambiguated ID Type / Status
Subject FPSC E338380 entity
Predicate abbreviation P43 FINISHED
Object FPSC E338380 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: FPSC | Statement: [FPSC, abbreviation, FPSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FPSC
Context triple: [FPSC, abbreviation, FPSC]
  • A. FPSC chosen
    FPSC is Pakistan’s Federal Public Service Commission, the constitutional body responsible for recruiting civil servants and managing competitive examinations for federal government posts.
  • B. FCSP
    FCSP is the commonly used abbreviation for FC St. Pauli, a German football club from Hamburg known for its left-leaning fan culture and distinctive skull-and-crossbones symbol.
  • C. AFSPC
    AFSPC is the acronym for Air Force Space Command, the former major command of the United States Air Force responsible for space operations and space warfare capabilities.
  • D. PPSC
    PPSC is the commonly used abbreviation for Pikes Peak State College, a public community college based in Colorado.
  • E. FSP
    FSP is the station code used to identify Schweizer Platz station in the Frankfurt public transport network.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568876308190840361dcaf10bd45 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6673de881909653c7691422b800 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.