Triple
T6400299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itbayaten |
E144044
|
entity |
| Predicate | spokenByMinorityGroup |
P30213
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Itbayaten, spokenByMinorityGroup, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenByMinorityGroup Context triple: [Itbayaten, spokenByMinorityGroup, true]
-
A.
spokenByMinorityIn
Indicates that a language or dialect is used primarily by a minority group within a specified geographic or political region.
-
B.
isSpokenByMinority
chosen
Indicates that the language or dialect is used primarily by a numerically smaller or less dominant group within a larger population.
-
C.
spokenByEthnicGroup
Indicates that a particular language, dialect, or speech variety is used or spoken by a specified ethnic group.
-
D.
representsMinorityGroup
Indicates that the subject belongs to or characterizes a group that is numerically, socially, or politically in the minority within a larger population or context.
-
E.
spokenByCommunity
Indicates that a language, dialect, or expression is used or articulated collectively by a particular community.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068994354819086cd51b661137f5a |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.