Triple
T24858025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emecé Editores |
E622079
|
entity |
| Predicate | regionOfMarket |
P12320
|
FINISHED |
| Object | Latin America |
—
|
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: Latin America | Statement: [Emecé Editores, regionOfMarket, Latin America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfMarket Context triple: [Emecé Editores, regionOfMarket, Latin America]
-
A.
marketRegion
chosen
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
B.
developmentRegion
Indicates the geographic or administrative region in which something is developed, produced, or primarily created.
-
C.
serviceRegion
Indicates the geographic area or jurisdiction within which a service is provided or applicable.
-
D.
catalogRegion
Indicates the geographic or organizational region associated with a given catalog or catalog entry.
-
E.
landingRegion
Indicates the area or zone where an object or entity comes to rest or makes contact after moving or descending.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 5:21 a.m.