Triple
T2759131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusett language |
E61176
|
entity |
| Predicate | timeOfMajorMissionaryActivity |
P18555
|
FINISHED |
| Object | 17th century New England |
—
|
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: 17th century New England | Statement: [Massachusett language, timeOfMajorMissionaryActivity, 17th century New England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMajorMissionaryActivity Context triple: [Massachusett language, timeOfMajorMissionaryActivity, 17th century New England]
-
A.
missionizationAt
Indicates the location or context in which a missionizing or religious conversion effort takes place.
-
B.
historicalPeriodOfMajorActivity
chosen
Indicates the historical period during which an entity carried out its most significant or influential activities.
-
C.
timePeriodOfMajorImportance
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
D.
missionaryInfluenceFrom
Indicates that one entity exerts religious or missionary influence upon another entity or location.
-
E.
missionaryRegion
Indicates that an entity carries out or is associated with missionary activities within a specified geographic region.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8d34f88190a760111fe303cf24 |
completed | March 7, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69abd82de7f48190acd614f28644c6da |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:57 p.m.