Triple
T33566883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American Datum of 1927 |
E859783
|
entity |
| Predicate | referencePointCountry |
P71182
|
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: [North American Datum of 1927, referencePointCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referencePointCountry Context triple: [North American Datum of 1927, referencePointCountry, United States]
-
A.
primaryReferenceCountry
Indicates the main country that serves as the primary point of reference or association for the related entity.
-
B.
countryOfReferent
chosen
Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
-
C.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
D.
primaryLocationCountry
Indicates the country that serves as the main or primary location associated with the subject.
-
E.
projectCountryAtTheTime
Indicates the country with which a project was associated at the specific time or period in question.
- 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: May 1, 2026, 1:40 a.m.