Triple
T26883860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Baptiste Tavernier |
E676985
|
entity |
| Predicate | numberOfMajorVoyagesToTheEast |
P196651
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Jean-Baptiste Tavernier, numberOfMajorVoyagesToTheEast, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorVoyagesToTheEast Context triple: [Jean-Baptiste Tavernier, numberOfMajorVoyagesToTheEast, 6]
-
A.
numberOfVoyagesToAmericas
Indicates the count of distinct voyages an entity has made to the Americas.
-
B.
famousVoyage
Indicates that a voyage is widely recognized or celebrated for its historical, cultural, or exploratory significance.
-
C.
seaVoyages
Indicates that one entity undertakes or is associated with journeys or travel by sea to or involving another entity.
-
D.
centuryOfVoyage
Indicates the century during which the voyage took place.
-
E.
firstMajorScientificExploration
Indicates that an entity represents the earliest significant scientific investigation or expedition undertaken by another entity.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69fe610d75a48190bfd08a9bb957fcd3 |
completed | May 8, 2026, 10:17 p.m. |
Created at: April 27, 2026, 5:41 a.m.