Triple
T30743252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | third voyage of Christopher Columbus |
E782746
|
entity |
| Predicate | mainColonyVisited |
P43464
|
FINISHED |
| Object | Santo Domingo |
—
|
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: Santo Domingo | Statement: [third voyage of Christopher Columbus, mainColonyVisited, Santo Domingo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainColonyVisited Context triple: [third voyage of Christopher Columbus, mainColonyVisited, Santo Domingo]
-
A.
regionsVisited
Indicates that an entity has traveled to, been present in, or otherwise visited specific geographic regions.
-
B.
cityVisited
Indicates that an entity has traveled to and spent time in a particular city.
-
C.
colonyInteractedWith
chosen
Indicates that a colony has engaged in some form of interaction or exchange with another entity.
-
D.
madeExpeditionsTo
Indicates that an entity undertook one or more exploratory or travel expeditions to a specified destination or location.
-
E.
visitedCountry
Indicates that an entity has traveled to and spent time in a particular country.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 29, 2026, 8:38 p.m.