Triple
T3612811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eco |
E76527
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Eco |
E76527
|
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: Eco | Statement: [Eco, abbreviation, Eco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eco Context triple: [Eco, abbreviation, Eco]
-
A.
Eco
chosen
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.
-
B.
Eco
Eco is an Italian surname most famously borne by Umberto Eco, the renowned novelist, philosopher, and semiotician.
-
C.
Ecolo
Ecolo is a Belgian French- and German-speaking green political party known for its focus on environmentalism, social justice, and progressive policies.
-
D.
ECO
ECO (Economic Cooperation Organization) is a regional intergovernmental organization that promotes economic, technical, and cultural cooperation among countries in Eurasia, particularly in Central and South Asia and the Middle East.
-
E.
Eco-Age
Eco-Age is a sustainability-focused consultancy and communications agency known for helping brands improve and showcase their environmental and ethical practices.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2786f808190be4e42734a79d74e |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43316224081909372f1007becc663 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.