Triple
T33515450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alioto |
E858353
|
entity |
| Predicate | hasCountryOfProminence |
P6725
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Alioto, hasCountryOfProminence, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryOfProminence Context triple: [Alioto, hasCountryOfProminence, United States]
-
A.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
notableCountry
Indicates that a country holds particular significance or prominence in relation to the subject entity.
-
C.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
D.
associatedCountryMostProminently
chosen
Indicates the country with which an entity is most strongly or prominently associated, relative to any other countries it may be linked to.
-
E.
countryOfNotableSuccess
Indicates the country in which an entity achieved notable success or recognition.
- F. None of above.
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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35a65a7de08190be65b265e2857e98 |
completed | June 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:39 a.m.