Triple
T1598267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodhpur |
E34333
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Sun City
Sun City is the popular nickname for Jodhpur, a historic city in the Indian state of Rajasthan known for its bright, sunny weather and blue-painted houses.
|
E181655
|
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: Sun City | Statement: [Jodhpur, nickname, Sun City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun City Context triple: [Jodhpur, nickname, Sun City]
-
A.
Silver City
Silver City is the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
-
B.
Silver City
Silver City is a historic Nevada mining town known for its role in the Comstock Lode silver boom of the 19th century.
-
C.
The Resort City
The Resort City is a popular coastal vacation destination known for its expansive beaches, oceanfront boardwalk, and vibrant tourism industry.
-
D.
Hub City
Hub City is the nickname of Crestview, Florida, reflecting its role as a central crossroads and regional center in the Florida Panhandle.
-
E.
Camel City
Camel City is a nickname for Winston-Salem, North Carolina, historically tied to the city’s association with the Camel cigarette brand and its tobacco industry.
- 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: Sun City Triple: [Jodhpur, nickname, Sun City]
Generated description
Sun City is the popular nickname for Jodhpur, a historic city in the Indian state of Rajasthan known for its bright, sunny weather and blue-painted houses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sun City Target entity description: Sun City is the popular nickname for Jodhpur, a historic city in the Indian state of Rajasthan known for its bright, sunny weather and blue-painted houses.
-
A.
Silver City
Silver City is the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
-
B.
Silver City
Silver City is a historic Nevada mining town known for its role in the Comstock Lode silver boom of the 19th century.
-
C.
The Resort City
The Resort City is a popular coastal vacation destination known for its expansive beaches, oceanfront boardwalk, and vibrant tourism industry.
-
D.
Hub City
Hub City is the nickname of Crestview, Florida, reflecting its role as a central crossroads and regional center in the Florida Panhandle.
-
E.
Camel City
Camel City is a nickname for Winston-Salem, North Carolina, historically tied to the city’s association with the Camel cigarette brand and its tobacco industry.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092f5f148190b987bc943e89e29c |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a848ec819085c82be8eaea2044 |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad4841d278819085507528faeaae3e |
completed | March 8, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad48ff11d881909fd6e9e40d5f1f38 |
completed | March 8, 2026, 10:01 a.m. |
Created at: March 4, 2026, 7:27 p.m.