Triple
T15598131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenín Moreno |
E374959
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moreno |
E546711
|
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: Moreno | Statement: [Lenín Moreno, familyName, Moreno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moreno Context triple: [Lenín Moreno, familyName, Moreno]
-
A.
Moreno
Moreno is a municipality in the state of Pernambuco, Brazil, situated in the metropolitan region near the city of Jaboatão dos Guararapes.
-
B.
Moreno
chosen
Moreno is a common Spanish surname borne by numerous notable individuals across politics, sports, arts, and business in the Spanish-speaking world and beyond.
-
C.
Santa Juana
Santa Juana is a rural Chilean commune in the Biobío Region, known for its agricultural activities and location within the Gran Concepción metropolitan area.
-
D.
Valle Grande
Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
-
E.
Valle Grande
Valle Grande is a scenic canyon and reservoir area in Argentina’s Mendoza province, popular for outdoor activities like rafting, hiking, and camping.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e609ab081909feb486a57439960 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ccc40c8190a3b1339404e6897f |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.