Triple
T10090097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nautilus (fictional submarine) |
E215319
|
entity |
| Predicate | travelScope |
P92379
|
FINISHED |
| Object | global undersea voyages |
—
|
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: global undersea voyages | Statement: [Nautilus (fictional submarine), travelScope, global undersea voyages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelScope Context triple: [Nautilus (fictional submarine), travelScope, global undersea voyages]
-
A.
travelCapability
Indicates the ability or capacity of an entity to move or be transported from one location to another.
-
B.
coTraveler
Indicates that two or more entities are traveling together along (part of) the same journey or route.
-
C.
travelMarket
Indicates a relationship where an entity participates in or is associated with the commercial exchange, promotion, or sale of travel-related services or experiences.
-
D.
journeyDestination
Indicates that one entity serves as the endpoint or intended destination of another entity’s journey or travel.
-
E.
travelsAbroad
Indicates that an entity goes to or spends time in a foreign country outside its usual nation of residence.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05960008190baecb8e4c9f2461f |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd5150ae98819086c4f822114b4e2c |
completed | April 1, 2026, 5:09 p.m. |
Created at: March 30, 2026, 9:01 p.m.