Triple
T9325864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GS1 |
E224383
|
entity |
| Predicate | name |
P16
|
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: [GS1, name, GS1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GS1 Context triple: [GS1, name, 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f88e988190bb896a3d7c3c723c |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7e13d108190bc3409cf5608d9ad |
completed | April 4, 2026, 8:12 a.m. |
Created at: March 30, 2026, 7:39 p.m.