Triple
T14196096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chōshū Five |
E351838
|
entity |
| Predicate | traveledAbroad |
P70240
|
FINISHED |
| Object | secretly |
—
|
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: secretly | Statement: [Chōshū Five, traveledAbroad, secretly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traveledAbroad Context triple: [Chōshū Five, traveledAbroad, secretly]
-
A.
travelsAbroad
chosen
Indicates that an entity goes to or spends time in a foreign country outside its usual nation of residence.
-
B.
oftenTravelsTo
Indicates that one entity frequently goes to or visits another location or entity.
-
C.
visitedCountry
Indicates that an entity has traveled to and spent time in a particular country.
-
D.
traveledAs
Indicates that an entity moved from one place to another in the role, capacity, or identity specified by another entity (e.g., as a tourist, as a representative, as a refugee).
-
E.
coTraveler
Indicates that two or more entities are traveling together along (part of) the same journey or route.
- F. None of above.
Provenance (3 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.