Triple
T7662333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icelandic Americans |
E173536
|
entity |
| Predicate | migrationPushFactors |
P42539
|
FINISHED |
| Object | volcanic eruptions in Iceland |
—
|
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: volcanic eruptions in Iceland | Statement: [Icelandic Americans, migrationPushFactors, volcanic eruptions in Iceland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: migrationPushFactors Context triple: [Icelandic Americans, migrationPushFactors, volcanic eruptions in Iceland]
-
A.
migrationCause
chosen
Indicates the reason or driving factor that leads an entity to migrate from one place to another.
-
B.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
C.
migration
Indicates the movement of entities from one location or context to another, often across boundaries or over time.
-
D.
hasSignificantEmigrationTo
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
-
E.
attractedImmigrantsFrom
Indicates that a place or entity drew or pulled immigrants originating from another place.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.