Triple
T12474747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UnionPay |
E298146
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | JCB |
E193741
|
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: JCB | Statement: [UnionPay, competesWith, JCB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JCB Context triple: [UnionPay, competesWith, JCB]
-
A.
JCB
JCB is a major British multinational manufacturer of construction, agricultural, and industrial equipment, best known for its yellow diggers and backhoe loaders.
-
B.
JCB Co., Ltd.
chosen
JCB Co., Ltd. is a major Japanese credit card company and payment brand that helped establish global security standards for the payment card industry.
-
C.
Mastercard
Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
-
D.
VISA
VISA is the commonly used acronym for the Voluntary Intermodal Sealift Agreement, a U.S. program that coordinates commercial shipping resources to support military sealift needs during national emergencies.
-
E.
Visa
Visa is a global financial services corporation best known for operating one of the world’s largest electronic payment networks for credit, debit, and prepaid cards.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcb194c81908b5e0320ddfd463c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f25462881908dccb831b474875d |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.