Triple
T30692403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitareti |
E781363
|
entity |
| Predicate | countryConventionalLongName |
P94700
|
FINISHED |
| Object | Georgia (country) |
—
|
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: Georgia (country) | Statement: [Pitareti, countryConventionalLongName, Georgia (country)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryConventionalLongName Context triple: [Pitareti, countryConventionalLongName, Georgia (country)]
-
A.
countryLong
chosen
Indicates that one entity is the full or long-form name of a country represented by the other entity.
-
B.
countryDeJure
Indicates that one entity is the legally recognized (de jure) country having sovereignty or authority over another entity.
-
C.
countryLabel
Indicates the name or label of the country associated with an entity.
-
D.
continentCountry
Indicates that a country is located on or belongs to a specific continent.
-
E.
country2
Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: April 29, 2026, 8:33 p.m.