Triple
T23603029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduardo Abaroa |
E582811
|
entity |
| Predicate | memorialDaySignificance |
P152887
|
FINISHED |
| Object | Day of the Sea in Bolivia |
—
|
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: Day of the Sea in Bolivia | Statement: [Eduardo Abaroa, memorialDaySignificance, Day of the Sea in Bolivia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialDaySignificance Context triple: [Eduardo Abaroa, memorialDaySignificance, Day of the Sea in Bolivia]
-
A.
memorialDayObservance
Indicates the observance or commemoration of Memorial Day in relation to a particular time, place, or context.
-
B.
memorialDayDate
Indicates the specific calendar date on which Memorial Day occurs or is observed.
-
C.
memorialScope
Indicates the extent or boundaries of what is commemorated or covered by a memorial.
-
D.
memorialization
Indicates the act of preserving the memory or honoring the legacy of someone or something, often through a dedicated object, event, or practice.
-
E.
memorialTheme
Indicates that something (such as a work, event, or object) is dedicated to remembering, honoring, or commemorating a person, group, or event.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b095410481908446f44c402f9dc7 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:43 p.m.