Triple
T24119161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco de Bobadilla |
E597602
|
entity |
| Predicate | methodOfTransportForColumbus |
P154924
|
FINISHED |
| Object | chains |
—
|
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: chains | Statement: [Francisco de Bobadilla, methodOfTransportForColumbus, chains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfTransportForColumbus Context triple: [Francisco de Bobadilla, methodOfTransportForColumbus, chains]
-
A.
seaVoyages
Indicates that one entity undertakes or is associated with journeys or travel by sea to or involving another entity.
-
B.
famousVoyage
Indicates that a voyage is widely recognized or celebrated for its historical, cultural, or exploratory significance.
-
C.
firstCircumnavigation
Indicates that the subject is responsible for completing the first full circumnavigation of the Earth (or another specified body or area).
-
D.
expeditionShip
Indicates a relationship where a ship is designated or used specifically for conducting an expedition or exploratory mission.
-
E.
Kon-TikiDistanceSailed
Indicates the distance that the Kon-Tiki expedition traveled or sailed over the course of its journey.
- 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_69e288c74200819098ab875b592cb39f |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dee1a2608190870ade02495c5ebe |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:05 p.m.