Triple
T26962742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pheucticus ludovicianus |
E679088
|
entity |
| Predicate | primaryLanguageCommonNameRegion |
P147609
|
FINISHED |
| Object | English-speaking North America |
—
|
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: English-speaking North America | Statement: [Pheucticus ludovicianus, primaryLanguageCommonNameRegion, English-speaking North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLanguageCommonNameRegion Context triple: [Pheucticus ludovicianus, primaryLanguageCommonNameRegion, English-speaking North America]
-
A.
primaryLanguageCountry
Indicates that a given language is the main or officially predominant language used within a particular country.
-
B.
primaryLanguageArea
chosen
Indicates that a specified region or area is one where a particular language is predominantly used or officially recognized as primary.
-
C.
subjectLanguageRegion
Indicates that the subject is associated with or uses a language specific to a particular geographic region.
-
D.
regionLanguage
Indicates that a particular language is used or officially recognized within a specific geographic region.
-
E.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
Created at: April 27, 2026, 6:33 a.m.