Triple
T9029543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zcash |
E216133
|
entity |
| Predicate | hasNativeToken |
P49249
|
FINISHED |
| Object | ZEC |
E773516
|
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: ZEC | Statement: [Zcash, hasNativeToken, ZEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZEC Context triple: [Zcash, hasNativeToken, ZEC]
-
A.
ZEC
chosen
ZEC is the cryptocurrency token used by the privacy-focused blockchain network Zcash.
-
B.
ZCS
ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
-
C.
EZE
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
-
D.
Zas
Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
-
E.
ZEL
ZEL is the National Rail station code assigned to Elephant & Castle station in London.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9bcb508190b58751f1772407d4 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb83e8988190bf29baa1aff11ac0 |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:08 p.m.