Triple

T17331437
Position Surface form Disambiguated ID Type / Status
Subject TKSC E420825 entity
Predicate abbreviation P43 FINISHED
Object TKSC E420825 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: TKSC | Statement: [TKSC, abbreviation, TKSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TKSC
Context triple: [TKSC, abbreviation, TKSC]
  • A. TKSC chosen
    TKSC is the primary JAXA facility in Tsukuba, Japan, responsible for mission control, astronaut training, and development and testing of space technologies.
  • B. KTCL
    KTCL is the ICAO airport code assigned to Tuscaloosa National Airport in Tuscaloosa, Alabama.
  • C. TSK
    TSK is the abbreviation for the Turkish Armed Forces, the military organization responsible for the defense and security of Turkey.
  • D. TSK
    TSK is the vehicle registration code assigned to the city of Skarżysko-Kamienna in Poland.
  • E. SKC
    SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d6870c8190989897aa6beba8ff completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5025d08190ab2581a3b04ae661 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.