Triple
T35982679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pls |
E1040615
|
entity |
| Predicate | hasMacrolanguageMember |
P23525
|
FINISHED |
| Object | Southern Popoloca |
E1047466
|
NE 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: Southern Popoloca | Statement: [pls, hasMacrolanguageMember, Southern Popoloca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMacrolanguageMember Context triple: [pls, hasMacrolanguageMember, Southern Popoloca]
-
A.
hasMacrolanguage
Indicates that a language is part of, or grouped under, a broader macrolanguage that encompasses multiple closely related language varieties.
-
B.
macrolanguageMemberOf
chosen
Indicates that a language variety is classified as a member of a larger macrolanguage grouping.
-
C.
hasMemberLanguage
Indicates that one entity is a language that is a constituent or member of a larger language group, family, or collection represented by the other entity.
-
D.
hasISO639MacrolanguageCode
Indicates that a language entity is associated with a specific ISO 639 macrolanguage code that represents a broader language grouping.
-
E.
macrolanguageOf
Indicates that one language functions as a macrolanguage encompassing or grouping together one or more related individual languages.
- F. None of above.
Provenance (4 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a030f1480148190a5e8c8926ded252c |
completed | May 12, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38b71852088190a557274b2cbfedba |
completed | June 22, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_6a030e7f5fa481909696733defefcc20 |
completed | May 12, 2026, 11:26 a.m. |
Created at: May 3, 2026, 4:07 p.m.