Triple
T20146122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhandara |
E491306
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Rice City
Rice City is a nickname for Bhandara, a town in Maharashtra, India, renowned for its extensive rice cultivation and trade.
|
E1412650
|
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: Rice City | Statement: [Bhandara, nickname, Rice City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rice City Context triple: [Bhandara, nickname, Rice City]
-
A.
Ice City
Ice City is the popular nickname for Harbin, a major northeastern Chinese city renowned for its frigid winters and spectacular ice and snow sculptures.
-
B.
Centum City
Centum City is a major modern business and entertainment district in Busan, South Korea, known for its high-rise complexes, shopping centers, and cultural venues.
-
C.
R. City
R. City is a musical duo best known for blending Caribbean influences with pop and hip-hop to create chart-topping hits.
-
D.
Shannon City
Shannon City is a small rural community in southern Iowa, United States.
-
E.
Mima City
Mima City is a municipality in western Tokushima Prefecture, Japan, known for its historic townscapes, traditional indigo dyeing culture, and scenic rural landscapes.
- 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: Rice City Triple: [Bhandara, nickname, Rice City]
Generated description
Rice City is a nickname for Bhandara, a town in Maharashtra, India, renowned for its extensive rice cultivation and trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rice City Target entity description: Rice City is a nickname for Bhandara, a town in Maharashtra, India, renowned for its extensive rice cultivation and trade.
-
A.
Ice City
Ice City is the popular nickname for Harbin, a major northeastern Chinese city renowned for its frigid winters and spectacular ice and snow sculptures.
-
B.
Centum City
Centum City is a major modern business and entertainment district in Busan, South Korea, known for its high-rise complexes, shopping centers, and cultural venues.
-
C.
R. City
R. City is a musical duo best known for blending Caribbean influences with pop and hip-hop to create chart-topping hits.
-
D.
Shannon City
Shannon City is a small rural community in southern Iowa, United States.
-
E.
Mima City
Mima City is a municipality in western Tokushima Prefecture, Japan, known for its historic townscapes, traditional indigo dyeing culture, and scenic rural landscapes.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082de9e5f0819099ded18aac95cfb7 |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082eb3fd54819098df60eb3cef82bb |
completed | May 16, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082fbbad6481909af822643987c95d |
completed | May 16, 2026, 8:50 a.m. |
Created at: April 11, 2026, 11:33 p.m.