Triple

T19701443
Position Surface form Disambiguated ID Type / Status
Subject Joint Security Area E473106 entity
Predicate alsoKnownAs P39 FINISHED
Object JSA NE NERFINISHED

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: JSA | Statement: [Joint Security Area, alsoKnownAs, JSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSA
Context triple: [Joint Security Area, alsoKnownAs, JSA]
  • A. JSA
    JSA is a UK government benefit that provides financial support to people who are actively looking for work.
  • B. JSA
    JSA is the commonly used abbreviation for Jefferson Science Associates, LLC, the management and operating contractor for the Thomas Jefferson National Accelerator Facility.
  • C. JSA chosen
    JSA is the commonly used abbreviation for the Joint Security Area, the heavily guarded section of the Korean Demilitarized Zone where North and South Korean forces directly face each other and diplomatic meetings are held.
  • D. JSA
    JSA is the ICAO airline designator for Jetstar Asia Airways, a Singapore-based low-cost carrier operating regional flights across Asia.
  • E. JSA (1999 series)
    JSA (1999 series) is a DC Comics ongoing title launched in 1999 that modernized and reintroduced the classic Justice Society of America team to a new generation of readers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b667908190841bb5fb7bfdb3f7 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.