Triple
T5270598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Fenwick |
E119245
|
entity |
| Predicate | colonyTypeFounded |
P62742
|
FINISHED |
| Object | Quaker settlement |
—
|
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: Quaker settlement | Statement: [John Fenwick, colonyTypeFounded, Quaker settlement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonyTypeFounded Context triple: [John Fenwick, colonyTypeFounded, Quaker settlement]
-
A.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
B.
foundedAsColonyFor
Indicates that one entity was established as a colony specifically for the benefit, use, or purposes of another entity.
-
C.
firstMajorColonyFoundationYear
Indicates the year in which an entity’s earliest or primary major colony was founded.
-
D.
foundedAfterArrivalOf
Indicates that one entity was founded only after the arrival or appearance of another specified entity.
-
E.
cityFoundedOn
Indicates that a city was established or officially founded on a specific date or point in time.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:51 p.m.