Triple
T4400580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moradabad |
E93604
|
entity |
| Predicate | nicknamed |
P744
|
FINISHED |
| Object |
Brass City
Brass City is the popular nickname for Moradabad, an Indian city renowned for its large-scale brass handicraft and metalware industry.
|
E437820
|
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: Brass City | Statement: [Moradabad, nicknamed, Brass City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brass City Context triple: [Moradabad, nicknamed, Brass City]
-
A.
The Brass City
The Brass City is a nickname for Waterbury, Connecticut, reflecting its historic prominence in brass manufacturing and metalworking.
-
B.
Steel City
Steel City is a nickname for Lorain, Ohio, reflecting its historic role as a major center of steel production and heavy industry.
-
C.
Steel City
Steel City is the industrial nickname for Pueblo, Colorado, reflecting its historic role as a major steel-producing center in the United States.
-
D.
Steeltown
Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
-
E.
Birmingham
Birmingham is a major industrial city in England’s West Midlands, historically significant for its manufacturing heritage and heavy bombing during the Second World War.
- 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: Brass City Triple: [Moradabad, nicknamed, Brass City]
Generated description
Brass City is the popular nickname for Moradabad, an Indian city renowned for its large-scale brass handicraft and metalware industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brass City Target entity description: Brass City is the popular nickname for Moradabad, an Indian city renowned for its large-scale brass handicraft and metalware industry.
-
A.
The Brass City
The Brass City is a nickname for Waterbury, Connecticut, reflecting its historic prominence in brass manufacturing and metalworking.
-
B.
Steel City
Steel City is a nickname for Lorain, Ohio, reflecting its historic role as a major center of steel production and heavy industry.
-
C.
Steel City
Steel City is the industrial nickname for Pueblo, Colorado, reflecting its historic role as a major steel-producing center in the United States.
-
D.
Steeltown
Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
-
E.
Birmingham
Birmingham is a major industrial and cultural city in the southern United States, known historically for its steel production and pivotal role in the Civil Rights Movement.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5f2310c8190934ba9768b68dd45 |
completed | March 14, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_69b5f689da008190ae5bd42af1f95bfa |
completed | March 15, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_69b5f72f5dac819081f98d835c467aca |
completed | March 15, 2026, 12:02 a.m. |
Created at: March 12, 2026, 11:28 p.m.