Triple
T32939456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Niña (ship) |
E842626
|
entity |
| Predicate | returnedWithColumbus |
P183750
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [La Niña (ship), returnedWithColumbus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedWithColumbus Context triple: [La Niña (ship), returnedWithColumbus, true]
-
A.
methodOfTransportForColumbus
Indicates the means or mode of transportation used by Columbus to travel.
-
B.
associatedWithConquistador
Indicates a relationship in which an entity is linked or connected to a conquistador, such as by involvement, affiliation, influence, or relevance.
-
C.
eraOfDiscovery
Indicates a relationship where something belongs to, occurs in, or is characteristic of a specific era of discovery or exploration.
-
D.
voyageNumberInColumbusExpeditions
Indicates the specific numbered voyage associated with an expedition in the series of Columbus’s journeys.
-
E.
firstChartedOn
Indicates that an entity was first mapped, recorded, or charted on a specific date or during a specific time.
- F. None of above. chosen
Provenance (4 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 1, 2026, 1:20 a.m.