Triple
T15579430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creating Opportunities |
E374453
|
entity |
| Predicate | hasChairperson |
P10
|
FINISHED |
| Object | Guillermo Lasso |
E76863
|
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: Guillermo Lasso | Statement: [Creating Opportunities, hasChairperson, Guillermo Lasso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guillermo Lasso Context triple: [Creating Opportunities, hasChairperson, Guillermo Lasso]
-
A.
Guillermo Lasso
chosen
Guillermo Lasso is an Ecuadorian businessman and politician who served as the President of Ecuador from 2021 to 2023.
-
B.
Miguel Lasso de la Vega
Miguel Lasso de la Vega is a notable bearer of the Spanish surname Lasso, recognized for his prominence within that family line.
-
C.
Manuel Lasso
Manuel Lasso is a Spanish-language author known for his literary and philosophical works.
-
D.
Álvaro Noboa
Álvaro Noboa is an Ecuadorian businessman and politician, known as one of the country’s wealthiest individuals and a frequent presidential candidate.
-
E.
Lenín Moreno
Lenín Moreno is an Ecuadorian politician who served as President of Ecuador from 2017 to 2021.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e56ffc81909e3228a660df4e09 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:11 a.m.