Triple
T1996240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niña |
E43364
|
entity |
| Predicate | subsequentVoyage |
P35334
|
FINISHED |
| Object | Columbus's second voyage to the Americas |
—
|
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: Columbus's second voyage to the Americas | Statement: [Niña, subsequentVoyage, Columbus's second voyage to the Americas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentVoyage Context triple: [Niña, subsequentVoyage, Columbus's second voyage to the Americas]
-
A.
laterOutcomeOfVoyage
Indicates that one event, state, or outcome occurs as a subsequent result or later phase of a specified voyage.
-
B.
voyageType
Indicates the specific category or nature of a journey or trip that an entity undertakes.
-
C.
subsequentUse
Indicates that one entity is used, applied, or consumed after another entity in time or sequence.
-
D.
purposeOfVoyages
Indicates the intended goals, reasons, or objectives motivating or justifying specific voyages.
-
E.
nextShuttleFlightAfterDisaster
Indicates the first shuttle flight that took place after a specified disaster event.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:37 p.m.