Triple
T33424955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LDU Quito |
E855947
|
entity |
| Predicate | universityOrigin |
P176590
|
FINISHED |
| Object | Universidad Central del 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: Universidad Central del Ecuador | Statement: [LDU Quito, universityOrigin, Universidad Central del Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityOrigin Context triple: [LDU Quito, universityOrigin, Universidad Central del Ecuador]
-
A.
campusOrigin
Indicates that one entity originates from, was founded at, or initially established on the campus represented by the other entity.
-
B.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
-
C.
hostUniversity
Indicates that a university serves as the primary institution hosting, organizing, or providing the setting for a given entity or activity (such as a program, event, or affiliation).
-
D.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
E.
studentOrigin
Indicates that a student originates from, or is associated with, a particular place, institution, or source.
- 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.