Triple
T32806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bermuda |
E654
|
entity |
| Predicate | firstSettledBy |
P989
|
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: [Bermuda, firstSettledBy, English colonists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSettledBy Context triple: [Bermuda, firstSettledBy, English colonists]
-
A.
settled
Indicates that an entity established residence or a stable presence in a place, typically after moving from elsewhere.
-
B.
firstOccupiedBy
chosen
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
-
C.
concludedBy
Indicates that an event, process, or state is brought to an end or finalized by a specific agent or entity.
-
D.
firstOccupied
Indicates that an entity was the initial or earliest occupant of a particular place, position, or resource.
-
E.
firstRaisedBy
Indicates that one entity was the earliest or original source to bring up, introduce, or initiate the referenced issue, idea, or topic in relation to another entity.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2496ffc548190b545f998cbebd5b9 |
completed | Feb. 28, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69a248717f5081909952a8c9ed1e1742 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.