Triple
T32794195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manizaleña |
E838712
|
entity |
| Predicate | syllableDivision |
P19239
|
FINISHED |
| Object | Ma-ni-za-le-ña |
—
|
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: Ma-ni-za-le-ña | Statement: [Manizaleña, syllableDivision, Ma-ni-za-le-ña]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: syllableDivision Context triple: [Manizaleña, syllableDivision, Ma-ni-za-le-ña]
-
A.
usesSyllables
Indicates that one entity forms, expresses, or analyzes something by employing syllables as its basic units.
-
B.
languageOfSyllables
Indicates a relationship where a language is characterized or defined by the specific set or system of syllables it uses.
-
C.
hasSyllabicStructure
Indicates that an entity possesses a specific arrangement or pattern of syllables, such as their number, order, or type.
-
D.
syllabarySpelling
Indicates how a word or term is written using a syllabary-based writing system rather than an alphabetic one.
-
E.
hasSyllableStructure
chosen
Indicates that an entity (typically a word or morpheme) possesses a particular arrangement or pattern of syllables.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:14 a.m.