Triple
T1411950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECCAS |
E31824
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ECCAS |
E31824
|
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: ECCAS | Statement: [ECCAS, abbreviation, ECCAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECCAS Context triple: [ECCAS, abbreviation, ECCAS]
-
A.
ECCAS
chosen
ECCAS (Economic Community of Central African States) is a regional economic community that promotes economic integration, peace, and development among Central African countries.
-
B.
ECA
ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
-
C.
ECA
The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
-
D.
ECA
The ECA is the European Union institution responsible for auditing the EU’s finances and ensuring that its budget is correctly implemented.
-
E.
ECASA
ECASA is a Cuban state-owned company responsible for managing and operating the country’s civil airports and air terminals.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e3383c81909acb9c6c1c3b817a |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace57ec2d88190b06d0f20e3b52462 |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.