Triple
T14932194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universidad de Viña del Mar |
E372293
|
entity |
| Predicate | isCoastalCityUniversity |
P79987
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Universidad de Viña del Mar, isCoastalCityUniversity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCoastalCityUniversity Context triple: [Universidad de Viña del Mar, isCoastalCityUniversity, true]
-
A.
isCoastalCityCodeFor
Indicates that a given code uniquely identifies a city that is located on or near a coast.
-
B.
isCoastalCommunitySchool
chosen
Indicates that a school is located within or serves a community situated along a coast or shoreline.
-
C.
isCoastalCityLocality
Indicates that a city or locality is situated on or very near a sea or ocean coastline.
-
D.
isUrbanUniversity
Indicates that a university is located in, or primarily associated with, an urban (city) environment.
-
E.
isCoastalOn
Indicates that one entity is located along or directly borders the coastline of another entity (such as a body of water or sea).
- F. None of above.
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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:37 a.m.