Triple
T27529911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Nevada |
E694942
|
entity |
| Predicate | carriedImmigrantTo |
P131314
|
FINISHED |
| Object | Ellis Island |
—
|
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: Ellis Island | Statement: [SS Nevada, carriedImmigrantTo, Ellis Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedImmigrantTo Context triple: [SS Nevada, carriedImmigrantTo, Ellis Island]
-
A.
carriedImmigrantsTo
chosen
Indicates that one entity transported immigrants from one place to another.
-
B.
carriedImmigrantsFrom
Indicates that one entity transported immigrants from a specified origin location to another place.
-
C.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
D.
emigratedWith
Indicates that one entity moved from their country or place of origin to settle in another location together with the other entity.
-
E.
carriedTo
Indicates that one entity transported or conveyed another entity from one place to another.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 1:25 p.m.