Triple
T37681785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilya Ilf |
E938251
|
entity |
| Predicate | travelDocumentedIn |
P192189
|
FINISHED |
| Object | One-storied America |
—
|
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: One-storied America | Statement: [Ilya Ilf, travelDocumentedIn, One-storied America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelDocumentedIn Context triple: [Ilya Ilf, travelDocumentedIn, One-storied America]
-
A.
tourDocumented
Indicates that a tour has been recorded or documented, typically capturing its details, events, or progression.
-
B.
travelScope
Indicates the extent or range within which travel is allowed, intended, or applicable for an entity or activity.
-
C.
travelsFor
Indicates that one entity moves from place to place on behalf of, or for the benefit or purpose of, another entity or objective.
-
D.
coTraveler
Indicates that two or more entities are traveling together along (part of) the same journey or route.
-
E.
settingOfTravels
Indicates that a location serves as the setting or backdrop for a character’s travels or journey.
- 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
| PDg | Predicate description generation | batch_69fcf82405c88190a19cecf8e9cc272d |
completed | May 7, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:18 p.m.