Triple
T30416893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From the New World |
E773781
|
entity |
| Predicate | countryComposed |
P104498
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [From the New World, countryComposed, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryComposed Context triple: [From the New World, countryComposed, United States]
-
A.
compositionCountry
chosen
Indicates the country in which something (typically a work or item) was created, composed, or produced.
-
B.
countryCore
Indicates that one entity is the primary or central country associated with another entity, such as its main location, jurisdiction, or national affiliation.
-
C.
countryTheme
Indicates that something is associated with or represents a thematic focus on a particular country.
-
D.
countryPlanned
Indicates that a country has planned or scheduled a particular action, event, or arrangement involving another entity.
-
E.
formerlyCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
Created at: April 29, 2026, 8:05 p.m.