Triple
T1598266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodhpur |
E34333
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Blue City
Blue City is a popular nickname for Jodhpur, a historic city in Rajasthan, India, famed for its blue-painted houses and hilltop Mehrangarh Fort.
|
E181654
|
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: Blue City | Statement: [Jodhpur, nickname, Blue City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue City Context triple: [Jodhpur, nickname, Blue City]
-
A.
Silk City
Silk City is a historic nickname for Paterson, New Jersey, reflecting its past prominence as a major center of silk production in the United States.
-
B.
Silk City
Silk City is a popular nickname for Rajshahi, a major city in western Bangladesh historically renowned for its silk industry and fine silk products.
-
C.
The Paradise City
"The Paradise City" is the official motto of Northampton, Massachusetts, reflecting its reputation for scenic beauty, vibrant culture, and high quality of life.
-
D.
Paper City
Paper City is the nickname of Holyoke, Massachusetts, reflecting its historic prominence as a major center of paper manufacturing.
-
E.
Fair City
Fair City is a traditional nickname for the Scottish city of Perth, reflecting its historic charm and picturesque setting.
- 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: Blue City Triple: [Jodhpur, nickname, Blue City]
Generated description
Blue City is a popular nickname for Jodhpur, a historic city in Rajasthan, India, famed for its blue-painted houses and hilltop Mehrangarh Fort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue City Target entity description: Blue City is a popular nickname for Jodhpur, a historic city in Rajasthan, India, famed for its blue-painted houses and hilltop Mehrangarh Fort.
-
A.
Silk City
Silk City is a historic nickname for Paterson, New Jersey, reflecting its past prominence as a major center of silk production in the United States.
-
B.
Silk City
Silk City is a popular nickname for Rajshahi, a major city in western Bangladesh historically renowned for its silk industry and fine silk products.
-
C.
The Paradise City
"The Paradise City" is the official motto of Northampton, Massachusetts, reflecting its reputation for scenic beauty, vibrant culture, and high quality of life.
-
D.
Paper City
Paper City is the nickname of Holyoke, Massachusetts, reflecting its historic prominence as a major center of paper manufacturing.
-
E.
Fair City
Fair City is a traditional nickname for the Scottish city of Perth, reflecting its historic charm and picturesque setting.
- 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.