Triple
T22557864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroCity |
E557734
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | EC |
—
|
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: EC | Statement: [EuroCity, abbreviation, EC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EC Context triple: [EuroCity, abbreviation, EC]
-
A.
EC
EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
-
B.
EC
EC is the abbreviation for the APEC Economic Committee, a body that supports economic policy research and cooperation among APEC member economies.
-
C.
EC
EC is the standard abbreviation for the Eastern Conference, one of the two primary conferences in major North American professional sports leagues.
-
D.
EC
EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
-
E.
EC
chosen
EC is the standard abbreviation for EuroCity, a network of international express passenger trains operating across various European countries.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.