Triple
T6696263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samoyedic languages |
E152757
|
entity |
| Predicate | areTypologically |
P5201
|
FINISHED |
| Object | agglutinative |
—
|
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: agglutinative | Statement: [Samoyedic languages, areTypologically, agglutinative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areTypologically Context triple: [Samoyedic languages, areTypologically, agglutinative]
-
A.
hasLinguisticTypology
chosen
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
-
B.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
C.
areAgglutinativeLanguages
Indicates that the related languages primarily form words by stringing together distinct morphemes, each carrying a specific grammatical meaning, in a clear and segmentable way.
-
D.
typology
Indicates a classification relationship in which entities are grouped or organized according to shared types, patterns, or structural characteristics.
-
E.
linguisticFeature
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b5ed99e48190970805225458ce82 |
completed | March 27, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0e1d348190af1762ea1951038e |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:05 p.m.