Triple
T30743282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitana |
E782747
|
entity |
| Predicate | voyageNumberInColumbusExpeditions |
P170085
|
FINISHED |
| Object | fourth |
—
|
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: fourth | Statement: [Capitana, voyageNumberInColumbusExpeditions, fourth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voyageNumberInColumbusExpeditions Context triple: [Capitana, voyageNumberInColumbusExpeditions, fourth]
-
A.
numberOfVoyagesToAmericas
Indicates the count of distinct voyages an entity has made to the Americas.
-
B.
methodOfTransportForColumbus
Indicates the means or mode of transportation used by Columbus to travel.
-
C.
famousVoyage
Indicates that a voyage is widely recognized or celebrated for its historical, cultural, or exploratory significance.
-
D.
numberOfExpeditions
Indicates the total count of expeditions associated with a given entity or context.
-
E.
firstVoyageYear
Indicates the calendar year in which an entity (such as a vessel or traveler) undertook its first voyage.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f6b835c8190b52471f03ebf3453 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:38 p.m.