Triple
T3912814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apostolos Valerianos |
E87361
|
entity |
| Predicate | explorationSubject |
P52528
|
FINISHED |
| Object | hypothetical Northwest Passage |
—
|
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: hypothetical Northwest Passage | Statement: [Apostolos Valerianos, explorationSubject, hypothetical Northwest Passage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explorationSubject Context triple: [Apostolos Valerianos, explorationSubject, hypothetical Northwest Passage]
-
A.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
B.
explored
Indicates that an entity has traveled through, examined, or investigated another entity or area, typically to discover or learn more about it.
-
C.
exploresQuestion
Indicates that an entity actively investigates, examines, or probes a question to gain deeper understanding or insight.
-
D.
explorer
Indicates that an entity engages in the activity of exploring or investigating places, ideas, or domains.
-
E.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef18748648190b85e62f7796ff4b4 |
completed | March 9, 2026, 4:12 p.m. |
Created at: March 9, 2026, 3:22 p.m.