Triple
T830915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilgrims |
E17962
|
entity |
| Predicate | colonyStatus |
P20114
|
FINISHED |
| Object | English colony in North America |
—
|
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: English colony in North America | Statement: [Pilgrims, colonyStatus, English colony in North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonyStatus Context triple: [Pilgrims, colonyStatus, English colony in North America]
-
A.
colonyFoundation
Indicates the event or process by which a colony is established or founded in a particular place by a founding entity.
-
B.
collectorStatus
Indicates the current operational or lifecycle state of a collector in relation to its collection activity.
-
C.
operatedInColony
Indicates that an entity conducted operations or activities within a specific colony.
-
D.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
-
E.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab60fea8819098ce3269181897d1 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.