Triple
T19169805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvareli Municipality |
E469288
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Shilda
Shilda is a village in Georgia’s Kakheti region, known for its winegrowing traditions and scenic location in the Kvareli Municipality.
|
E1361573
|
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: Shilda | Statement: [Kvareli Municipality, hasSettlement, Shilda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shilda Context triple: [Kvareli Municipality, hasSettlement, Shilda]
-
A.
Shala
Shala is a Mesopotamian goddess associated with weather and grain, best known as the wife of the storm god Adad (Ishkur).
-
B.
Shimona
Shimona is a feminine given name, typically considered a variant of Simone.
-
C.
Sheelam
Sheelam is a Sanskrit term referring to a person's virtuous character or moral conduct.
-
D.
Tenea
Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
-
E.
Kirsha
Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
- 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: Shilda Triple: [Kvareli Municipality, hasSettlement, Shilda]
Generated description
Shilda is a village in Georgia’s Kakheti region, known for its winegrowing traditions and scenic location in the Kvareli Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shilda Target entity description: Shilda is a village in Georgia’s Kakheti region, known for its winegrowing traditions and scenic location in the Kvareli Municipality.
-
A.
Shala
Shala is a Mesopotamian goddess associated with weather and grain, best known as the wife of the storm god Adad (Ishkur).
-
B.
Shimona
Shimona is a feminine given name, typically considered a variant of Simone.
-
C.
Sheelam
Sheelam is a Sanskrit term referring to a person's virtuous character or moral conduct.
-
D.
Tenea
Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
-
E.
Kirsha
Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f162ac648190a5f60c6a77b68304 |
completed | April 20, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f2639f188190aa87c1b31b5dcb7b |
completed | May 15, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a06f338f504819081daeef10e629afd |
completed | May 15, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4199a588190943d3d45536a228c |
completed | May 15, 2026, 10:23 a.m. |
Created at: April 10, 2026, 12:06 p.m.