Triple
T4729443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Delano |
E104967
|
entity |
| Predicate | arrivalYearInNewEngland |
P51255
|
FINISHED |
| Object | 1621 |
—
|
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: 1621 | Statement: [Philip Delano, arrivalYearInNewEngland, 1621]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrivalYearInNewEngland Context triple: [Philip Delano, arrivalYearInNewEngland, 1621]
-
A.
yearOfArrivalInNewWorld
Indicates the specific year in which an entity arrived in the New World.
-
B.
firstMajorColonyFoundationYear
Indicates the year in which an entity’s earliest or primary major colony was founded.
-
C.
earliestPresenceInNewEngland
chosen
Indicates the earliest known time or date when an entity first appeared or was present in New England.
-
D.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
E.
settledInYear
Indicates the specific calendar year in which an entity became established, inhabited, or formally settled in a particular place or status.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.