Triple
T29760785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Newt Jorden |
E753761
|
entity |
| Predicate | colonistAt |
P66111
|
FINISHED |
| Object | Hadley's Hope |
—
|
NE NERFINISHED |
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: Hadley's Hope | Statement: [Rebecca Newt Jorden, colonistAt, Hadley's Hope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonistAt Context triple: [Rebecca Newt Jorden, colonistAt, Hadley's Hope]
-
A.
representedColony
Indicates that an entity acted as an official representative or delegate for a particular colony in some context or event.
-
B.
destinationColony
Indicates the colony that serves as the endpoint or target location to which something or someone is directed or sent.
-
C.
colonistsIncluded
Indicates that colonists are counted as part of, or explicitly included within, a specified group, set, or context.
-
D.
hadColonistsFrom
Indicates that a place or settlement previously received colonists originating from another specified place.
-
E.
settlerOf
chosen
Indicates that an entity established or inhabited a place as a settler of that location.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 8:32 p.m.