Triple
T26663580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monumento a Eugenio María de Hostos in Santo Domingo |
E672117
|
entity |
| Predicate | honoreeCountryOfOrigin |
P41175
|
FINISHED |
| Object | Puerto Rico |
—
|
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: Puerto Rico | Statement: [Monumento a Eugenio María de Hostos in Santo Domingo, honoreeCountryOfOrigin, Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoreeCountryOfOrigin Context triple: [Monumento a Eugenio María de Hostos in Santo Domingo, honoreeCountryOfOrigin, Puerto Rico]
-
A.
honorsPersonNationality
Indicates that an entity honors, recognizes, or pays tribute to a person specifically in relation to that person's nationality.
-
B.
honoureeNationality
chosen
Indicates that the honoured person has the specified nationality.
-
C.
namedForNationalityOfHonouree
Indicates that something is named in honor of a person, specifically referencing that person's nationality.
-
D.
countryOfHallOfFame
Indicates the country with which a given Hall of Fame is associated or located.
-
E.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 3:07 a.m.