Triple

T2187996
Position Surface form Disambiguated ID Type / Status
Subject EPCglobal E49794 entity
Predicate collaboratesWith P37 FINISHED
Object GS1 E224383 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: GS1 | Statement: [EPCglobal, collaboratesWith, GS1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GS1
Context triple: [EPCglobal, collaboratesWith, GS1]
  • A. GS1 chosen
    GS1 is a global, non-profit standards organization best known for developing and maintaining international supply chain identification systems such as barcodes used in retail and logistics.
  • B. EPCglobal
    EPCglobal is an international standards organization that develops and maintains specifications for RFID and electronic product code (EPC) technologies used in global supply chains.
  • C. EAN-13 barcode system
    The EAN-13 barcode system is a 13-digit global product identification standard used in retail and logistics to encode numeric data in machine-readable barcodes.
  • D. GSP
    GSP is a regional vehicle registration code used on license plates issued in the Pomeranian Voivodeship of Poland.
  • E. GSP
    GSP is the commonly used abbreviation for the Garden State Parkway, a major toll highway running the length of New Jersey.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf130ef081908adb4a22f056be5b completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dada268819082ddc4acd58e19f3 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.