Triple
T2377319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wôpanâak |
E46226
|
entity |
| Predicate | languageRevivalMethod |
P38812
|
FINISHED |
| Object | linguistic reconstruction |
—
|
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: linguistic reconstruction | Statement: [Wôpanâak, languageRevivalMethod, linguistic reconstruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageRevivalMethod Context triple: [Wôpanâak, languageRevivalMethod, linguistic reconstruction]
-
A.
hasLanguageRevitalizationEfforts
Indicates that there are organized actions or initiatives aimed at preserving, strengthening, or reviving the use of a particular language.
-
B.
lexifierLanguage
Indicates that one language serves as the primary source or base language from which the core vocabulary and structure of another language, typically a pidgin or creole, are derived.
-
C.
languageIntroduced
Indicates that a particular language was brought into use or made known within a certain context, time, or place.
-
D.
heritageLanguage
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
-
E.
languageDesigned
Indicates that one entity created or developed the language used or associated with another entity.
- F. None of above. chosen
Provenance (4 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abca4c937c8190b4dfca716b868d4f |
completed | March 7, 2026, 6:48 a.m. |
Created at: March 4, 2026, 7:57 p.m.