Triple
T20939193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1860 Wiyot Massacre |
E515669
|
entity |
| Predicate | languageCommunityAffected |
P112459
|
FINISHED |
| Object | Wiyot language speakers |
—
|
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: Wiyot language speakers | Statement: [1860 Wiyot Massacre, languageCommunityAffected, Wiyot language speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageCommunityAffected Context triple: [1860 Wiyot Massacre, languageCommunityAffected, Wiyot language speakers]
-
A.
hasLanguageCommunity
Indicates that an entity is associated with or serves a particular language community.
-
B.
languageLocalCommunities
Indicates that a language is used, maintained, or holds significance within specific local communities or regions.
-
C.
languageAffected
Indicates that one entity has an impact on, modifies, or influences the characteristics, usage, or status of a language.
-
D.
notableCommunityAffected
chosen
Indicates that a particular community of notable significance is directly impacted or influenced by the subject.
-
E.
hasNeighboringLanguageCommunity
Indicates that one language community is geographically or socially adjacent to another, allowing for direct contact or interaction between them.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:50 p.m.