Triple
T33425292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selección femenina de fútbol de Ecuador |
E855958
|
entity |
| Predicate | sedeCopaAméricaFemenina2014 |
P176596
|
FINISHED |
| Object | Ecuador |
—
|
NE NERFINISHED |
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: Ecuador | Statement: [selección femenina de fútbol de Ecuador, sedeCopaAméricaFemenina2014, Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sedeCopaAméricaFemenina2014 Context triple: [selección femenina de fútbol de Ecuador, sedeCopaAméricaFemenina2014, Ecuador]
-
A.
copaAmerica2015Host
Indicates that the subject is the country or entity that hosted the 2015 Copa América tournament.
-
B.
CopaAmerica2016HostCountry
Indicates the country that served as the official host nation for the 2016 Copa América tournament.
-
C.
majorCityOnArgentineSide
Indicates that the referenced city is a principal or major urban center located on the Argentine side of a border, region, or shared geographic feature.
-
D.
countryCityArgentina
Indicates a relationship where a city is located within the country of Argentina.
-
E.
ConfederationsCupHostCity
Indicates that a city served as a host location for matches of the FIFA Confederations Cup tournament.
- F. None of above. chosen
Provenance (4 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:36 a.m.