Triple
T1273839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakheti |
E15768
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
|
E159286
|
NE FINISHED |
How this triple was built (4 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: Sagarejo | Statement: [Kakheti, majorCity, Sagarejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagarejo Context triple: [Kakheti, majorCity, Sagarejo]
-
A.
Rakovica
Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
-
B.
Savski Venac
Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
-
C.
Peć
Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
-
D.
Smiljan
Smiljan is a village in modern-day Croatia best known as the birthplace of inventor Nikola Tesla.
-
E.
Midžor
Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sagarejo Triple: [Kakheti, majorCity, Sagarejo]
Generated description
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sagarejo Target entity description: Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
A.
Rakovica
Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
-
B.
Savski Venac
Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
-
C.
Peć
Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
-
D.
Smiljan
Smiljan is a village in modern-day Croatia best known as the birthplace of inventor Nikola Tesla.
-
E.
Midžor
Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
- F. None of above. chosen
Provenance (5 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06d73608190be87be49c4367072 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde0ccff4819092948c249e0cb39b |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acde6b92bc819081bc5c1aae64d981 |
completed | March 8, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acded2e6a48190af7f135a0a4d8588 |
completed | March 8, 2026, 2:28 a.m. |
Created at: March 1, 2026, 7:50 p.m.