Triple
T1187679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecuadorian sucre |
E25284
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object |
ECS
ECS is the former ISO 4217 currency code for the Ecuadorian sucre, the national currency of Ecuador before its adoption of the U.S. dollar.
|
E136464
|
NE FINISHED |
How this triple was built (4 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: ECS | Statement: [Ecuadorian sucre, ISO4217Code, ECS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECS Context triple: [Ecuadorian sucre, ISO4217Code, ECS]
-
A.
ECI
ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
-
B.
AWST
AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
-
C.
Alibaba Cloud
Alibaba Cloud is a leading global cloud computing and infrastructure services provider originating from China, offering a wide range of scalable computing, storage, and data solutions.
-
D.
CLOUD
CLOUD is a CERN experiment that studies how cosmic rays and atmospheric aerosols influence cloud formation and, consequently, Earth's climate.
-
E.
Azure
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ECS Triple: [Ecuadorian sucre, ISO4217Code, ECS]
Generated description
ECS is the former ISO 4217 currency code for the Ecuadorian sucre, the national currency of Ecuador before its adoption of the U.S. dollar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ECS Target entity description: ECS is the former ISO 4217 currency code for the Ecuadorian sucre, the national currency of Ecuador before its adoption of the U.S. dollar.
-
A.
ECI
ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
-
B.
AWST
AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
-
C.
Alibaba Cloud
Alibaba Cloud is a leading global cloud computing and infrastructure services provider originating from China, offering a wide range of scalable computing, storage, and data solutions.
-
D.
CLOUD
CLOUD is a CERN experiment that studies how cosmic rays and atmospheric aerosols influence cloud formation and, consequently, Earth's climate.
-
E.
Azure
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
- F. None of above. chosen
Provenance (5 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd568cf481908d10cf19a3ce28f3 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac764a5f508190a54c8f01cf0b0d11 |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac76c0863c81909c68208709e4767b |
completed | March 7, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac778551f88190ac041d80e41d209d |
completed | March 7, 2026, 7:07 p.m. |
Created at: March 1, 2026, 7:45 p.m.