Triple
T38290194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A New-England Folktale |
E1022337
|
entity |
| Predicate | evokesSettingCountry |
P157605
|
FINISHED |
| Object | Colonial 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: Colonial America | Statement: [A New-England Folktale, evokesSettingCountry, Colonial America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evokesSettingCountry Context triple: [A New-England Folktale, evokesSettingCountry, Colonial America]
-
A.
settingCountries
chosen
Indicates that a work, event, or narrative is set in or takes place within the specified countries.
-
B.
useCountry
Indicates that one entity utilizes or operates within the jurisdiction, systems, or context of a specified country.
-
C.
eligibleCountry
Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
-
D.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
E.
countryVariant
Indicates that one entity is a country-specific variant or localized version of another entity.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:30 p.m.