Triple
T13484924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamshedpur |
E318470
|
entity |
| Predicate | nicknamed |
P744
|
FINISHED |
| Object |
Steel City
Steel City is the popular nickname for Jamshedpur, an industrial city in India renowned for its major steel production and large Tata Steel plant.
|
E1042058
|
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: Steel City | Statement: [Jamshedpur, nicknamed, Steel City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steel City Context triple: [Jamshedpur, nicknamed, Steel City]
-
A.
Steel City
Steel City is a nickname for Lorain, Ohio, reflecting its historic role as a major center of steel production and heavy industry.
-
B.
Steel City
Steel City is a common nickname for Hamilton, Ontario, reflecting its historic role as a major Canadian center of steel production and heavy industry.
-
C.
Steel City
Steel City is a nickname for the industrial city of Salem, reflecting its historical association with steel production and metalworking.
-
D.
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.
-
E.
Steeltown
Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
- 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: Steel City Triple: [Jamshedpur, nicknamed, Steel City]
Generated description
Steel City is the popular nickname for Jamshedpur, an industrial city in India renowned for its major steel production and large Tata Steel plant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steel City Target entity description: Steel City is the popular nickname for Jamshedpur, an industrial city in India renowned for its major steel production and large Tata Steel plant.
-
A.
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.
-
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 a common nickname for Hamilton, Ontario, reflecting its historic role as a major Canadian center of steel production and heavy industry.
-
D.
Steel City
Steel City is a nickname for the industrial city of Salem, reflecting its historical association with steel production and metalworking.
-
E.
Steeltown
Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74bac36e081909dae786e14883e3c |
completed | May 3, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74c5195188190bad111b301713426 |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 9, 2026, 9:42 p.m.