Triple
T31717926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Marlantes |
E809496
|
entity |
| Predicate | serviceNumberOfTours |
P185333
|
FINISHED |
| Object | Vietnam War tour |
—
|
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: Vietnam War tour | Statement: [Karl Marlantes, serviceNumberOfTours, Vietnam War tour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceNumberOfTours Context triple: [Karl Marlantes, serviceNumberOfTours, Vietnam War tour]
-
A.
offersTours
Indicates that one entity provides or makes available guided tours or tour services to another entity.
-
B.
tourLegCount
Indicates the number of legs or segments that make up a given tour or journey.
-
C.
hasTouristGuidedTours
Indicates that an entity offers or provides guided tours specifically designed for tourists.
-
D.
tourismService
Indicates a relationship where an entity provides or is associated with services intended for tourists, such as travel, accommodation, or guided activities.
-
E.
tourUsage
Indicates how a tour is intended to be used or the manner in which it is utilized within a given context.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: April 30, 2026, 11:17 p.m.