Triple
T3764762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Editorial Planeta |
E82642
|
entity |
| Predicate | writesInSystem |
P11300
|
FINISHED |
| Object | Latin alphabet |
—
|
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: Latin alphabet | Statement: [Editorial Planeta, writesInSystem, Latin alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writesInSystem Context triple: [Editorial Planeta, writesInSystem, Latin alphabet]
-
A.
writesTo
Indicates that one entity produces and records information, data, or content into another entity as a destination or storage target.
-
B.
writingSystemScope
Indicates the range or extent of content, languages, or contexts to which a particular writing system applies or is used.
-
C.
wroteIn
chosen
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
-
D.
writingSystemStatus
Indicates the current functional or sociolinguistic state of a writing system, such as whether it is actively used, obsolete, official, or endangered.
-
E.
writtenDuring
Indicates that the creation or authorship of something took place within a specified time period or historical event.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfd4be481908242c460a3f00c56 |
completed | March 8, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.