Triple
T38210040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himno de Bayamo |
E1010512
|
entity |
| Predicate | officiallyUsedStanzas |
P4983
|
FINISHED |
| Object | one |
—
|
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: one | Statement: [Himno de Bayamo, officiallyUsedStanzas, one]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officiallyUsedStanzas Context triple: [Himno de Bayamo, officiallyUsedStanzas, one]
-
A.
lyricsOfficiallyUsedUntil
Indicates the date or time period up to which specific lyrics were officially in use or recognized as valid.
-
B.
numberOfOfficialStanzas
chosen
Indicates the total count of officially recognized stanzas associated with an entity, such as a song, poem, or anthem.
-
C.
commonlySungStanzas
Indicates that certain stanzas of a song or poem are those most frequently sung or performed in practice.
-
D.
lastTwoStanzasKnownAs
Indicates that the final two stanzas of a work are collectively referred to by a specific name or designation.
-
E.
stanzaForm
Indicates the specific structural pattern or arrangement of lines and verses used in a stanza.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a006fe981488190b4287289a3327664 |
completed | May 10, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_6a006f6976ec8190ba2c04fbaa946345 |
completed | May 10, 2026, 11:43 a.m. |
Created at: May 3, 2026, 4:30 p.m.