Triple
T16181822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Car of the Year |
E392699
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ECOTY |
E392699
|
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: ECOTY | Statement: [European Car of the Year, hasAbbreviation, ECOTY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECOTY Context triple: [European Car of the Year, hasAbbreviation, ECOTY]
-
A.
ECOTY
chosen
ECOTY is the commonly used acronym for the European Car of the Year, a prestigious annual automotive award judged by motoring journalists from across Europe.
-
B.
Ecolo
Ecolo is a Belgian French- and German-speaking green political party known for its focus on environmentalism, social justice, and progressive policies.
-
C.
Eco
Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
-
D.
Eco
Eco is an Italian surname most famously borne by Umberto Eco, the renowned novelist, philosopher, and semiotician.
-
E.
ECY
ECY is the commonly used acronym for the Washington State Department of Ecology, the state agency responsible for environmental protection and natural resource management in Washington.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205d858c8190802d44e08e3cdcd6 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.