Triple
T726898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokanoket |
E14745
|
entity |
| Predicate | contactWith |
P19362
|
FINISHED |
| Object | English colonists |
—
|
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 colonists | Statement: [Pokanoket, contactWith, English colonists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contactWith Context triple: [Pokanoket, contactWith, English colonists]
-
A.
correspondedWith
Indicates that two entities engaged in mutual communication, typically by exchanging messages or letters over a period of time.
-
B.
appointmentMethod
Indicates how an appointment is arranged, such as the channel, process, or means used to schedule it.
-
C.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
D.
associatedNumber
Indicates a relationship where a specific number is linked or assigned to an entity as its associated value.
-
E.
hasContactRole
Indicates that an entity serves in a specific role or capacity as a contact for 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f839608190878a60eb7a044ed9 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a64957ec81909fe2e2dbffd80ed3 |
completed | March 1, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:37 p.m.