Triple
T26776300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padre de la Patria Puertorriqueña |
E670127
|
entity |
| Predicate | honorificForEthnicity |
P68488
|
FINISHED |
| Object | Puerto Rican |
—
|
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: Puerto Rican | Statement: [Padre de la Patria Puertorriqueña, honorificForEthnicity, Puerto Rican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificForEthnicity Context triple: [Padre de la Patria Puertorriqueña, honorificForEthnicity, Puerto Rican]
-
A.
honorificForRegion
chosen
Indicates that a particular honorific title or form of address is specifically used for, or associated with, a given geographic region.
-
B.
honorificOrigin
Indicates that an honorific title or form of address originates from, or is derived from, a particular source, culture, language, or context.
-
C.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
D.
honorificUsage
Indicates that one entity refers to or addresses another using an honorific title or respectful linguistic form.
-
E.
honorificUse
Indicates that one entity refers to or addresses another using an honorific title or respectful linguistic form.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 4:05 a.m.