Triple
T1056440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plantation of Ulster |
E22806
|
entity |
| Predicate | colonizingPopulation |
P2750
|
FINISHED |
| Object | English settlers |
—
|
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 settlers | Statement: [Plantation of Ulster, colonizingPopulation, English settlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonizingPopulation Context triple: [Plantation of Ulster, colonizingPopulation, English settlers]
-
A.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
B.
colonized
Indicates that one entity established control over and settled in the territory of another entity, often imposing its own systems, structures, or population there.
-
C.
foundingPopulation
Indicates the population size or composition present at the time an entity (such as a settlement, organization, or species group) was originally founded or established.
-
D.
populationIncludes
chosen
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
E.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d9102c819090af78cae50f0ff2 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.