Triple
T30203009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wee people |
E767835
|
entity |
| Predicate | linguisticTraditionsSimilarTo |
P10003
|
FINISHED |
| Object | Krahn people |
—
|
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: Krahn people | Statement: [Wee people, linguisticTraditionsSimilarTo, Krahn people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticTraditionsSimilarTo Context triple: [Wee people, linguisticTraditionsSimilarTo, Krahn people]
-
A.
laterTraditionsLanguage
Indicates that later traditions or sources refer to or describe the subject using the specified language.
-
B.
linguisticallyRelatedTo
chosen
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
C.
cognateTradition
Indicates that two entities belong to the same or closely related cultural, intellectual, or historical tradition, sharing a common origin or lineage.
-
D.
governingLanguageTradition
Indicates that one language tradition holds authoritative or regulatory influence over another in terms of norms, standards, or accepted practices.
-
E.
hasLanguageSimilarTo
Indicates that one entity uses or is associated with a language that is similar or closely related to the language used or associated with another entity.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67fc6cbb88190a380a76b8463b557 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:31 p.m.