Triple
T18913500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thamien |
E462662
|
entity |
| Predicate | peopleLanguageRelation |
P92545
|
FINISHED |
| Object | eponymous language of the Thamien people |
—
|
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: eponymous language of the Thamien people | Statement: [Thamien, peopleLanguageRelation, eponymous language of the Thamien people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peopleLanguageRelation Context triple: [Thamien, peopleLanguageRelation, eponymous language of the Thamien people]
-
A.
linguisticallyRelatedTo
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
B.
languageFamilyRelation
Indicates a relationship where one language belongs to, descends from, or is otherwise classified within a particular language family.
-
C.
influencesLanguageOf
Indicates that one entity affects, shapes, or alters the language used by another entity.
-
D.
languageGroupSpoken
chosen
Indicates that a particular language group is spoken or used for communication by an entity.
-
E.
hasRelatedLanguage
Indicates that one language is related to another through shared linguistic origins, features, or classification.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c624516c81909e6bf04707d3c71c |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.