Triple
T35811999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | იეზიდები |
E1035254
|
entity |
| Predicate | countryOfLargestPopulation |
P3409
|
FINISHED |
| Object | ერაყი |
E2157281
|
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: ერაყი | Statement: [იეზიდები, countryOfLargestPopulation, ერაყი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfLargestPopulation Context triple: [იეზიდები, countryOfLargestPopulation, ერაყი]
-
A.
countryWithSignificantPopulation
Indicates that a country has a notably large or impactful number of people, relative to some defined threshold or comparison set.
-
B.
hasLargestCountryByPopulation
chosen
Indicates that, among a set of compared entities, the subject is associated with the country that has the highest population.
-
C.
hasLargestPopulationOn
Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
-
D.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
-
E.
countryInWorld
Indicates that a country is located within and is a member of the world as a whole.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a020ec13d808190b41acdc31adc4191 |
completed | May 11, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389c161444819098f66b4b4b6ea379 |
completed | June 22, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_6a020d9259c08190ad0370091c23ea8a |
completed | May 11, 2026, 5:10 p.m. |
Created at: May 3, 2026, 4:06 p.m.