Triple
T6929227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nipmuc language |
E160390
|
entity |
| Predicate | historicalPeriodOfFluency |
P73723
|
FINISHED |
| Object | pre-colonial era |
—
|
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: pre-colonial era | Statement: [Nipmuc language, historicalPeriodOfFluency, pre-colonial era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPeriodOfFluency Context triple: [Nipmuc language, historicalPeriodOfFluency, pre-colonial era]
-
A.
historicalLanguageStatus
Indicates that a language had a particular official, social, or functional status during a past historical period.
-
B.
historicalLanguageStage
Indicates that one language variety represents an earlier historical stage or developmental phase of another language.
-
C.
historicallySpoke
Indicates that an entity used a particular language as a spoken language during some period in the past.
-
D.
historicalLanguageFeature
Indicates that a language possesses a feature, trait, or characteristic that existed or was relevant in a past historical period.
-
E.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1f5fcc8190b43f53f90fc1821c |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:27 p.m.