Triple
T3003415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown of Castile |
E81841
|
entity |
| Predicate | sponsorshipYearColumbusFirstVoyage |
P44596
|
FINISHED |
| Object | 1492 |
—
|
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: 1492 | Statement: [Crown of Castile, sponsorshipYearColumbusFirstVoyage, 1492]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorshipYearColumbusFirstVoyage Context triple: [Crown of Castile, sponsorshipYearColumbusFirstVoyage, 1492]
-
A.
firstVoyageEndYear
Indicates the calendar year in which an entity’s first voyage or initial journey was completed or came to an end.
-
B.
yearOfEuropeanExploration
Indicates the specific year in which a European exploration of the referenced entity took place.
-
C.
voyageStartYearDescribed
Indicates the year in which a voyage is described as having started.
-
D.
captaincyStartYear
Indicates the year in which an entity first assumed the role of captain.
-
E.
yearOfArrivalInNewWorld
Indicates the specific year in which an entity arrived in the New World.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1371c481909e214234afed1a65 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.