Triple
T35811894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | გარდაბანი |
E1035252
|
entity |
| Predicate | ქვეყნის ნაწილი |
P65771
|
FINISHED |
| Object | აღმოსავლეთი საქართველო |
—
|
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: აღმოსავლეთი საქართველო | Statement: [გარდაბანი, ქვეყნის ნაწილი, აღმოსავლეთი საქართველო]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ქვეყნის ნაწილი Context triple: [გარდაბანი, ქვეყნის ნაწილი, აღმოსავლეთი საქართველო]
-
A.
partOfTerritory
chosen
Indicates that one geographic or administrative area is contained within, and forms a constituent portion of, another territory.
-
B.
partOfCountrySubdivision
Indicates that one geographic or administrative unit is contained within and forms a component part of a larger country subdivision.
-
C.
countryPortionIn
Indicates that a specific part or region is located within the boundaries of a particular country.
-
D.
გავლის_ქვეყანა
Indicates a country through which something or someone passes or travels.
-
E.
გამდინარე_ქვეყანა
Indicates that one country is the source or origin country from which something (such as migrants, goods, capital, or information) flows or departs.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.