Triple
T27365130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alphons Stübel |
E690136
|
entity |
| Predicate | madeExpeditionsTo |
P162649
|
FINISHED |
| Object | Peru |
—
|
NE NERFINISHED |
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: Peru | Statement: [Alphons Stübel, madeExpeditionsTo, Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeExpeditionsTo Context triple: [Alphons Stübel, madeExpeditionsTo, Peru]
-
A.
numberOfExpeditions
Indicates the total count of expeditions associated with a given entity or context.
-
B.
usedExpedition
Indicates that an entity employed or relied on a particular expedition (journey, mission, or exploratory campaign) to achieve some purpose or outcome.
-
C.
hasNotableExpedition
Indicates that an entity is associated with a significant or noteworthy expedition, journey, or exploratory mission.
-
D.
issExpedition
Indicates an expedition or mission associated with the International Space Station (ISS).
-
E.
voyagesCompleted
Indicates that an entity has successfully finished one or more journeys or trips from departure to return.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62cd1912c8190ab3f3288442115a4 |
completed | May 2, 2026, 4:56 p.m. |
Created at: April 27, 2026, 12:16 p.m.