Triple
T2756894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jharkhand |
E61121
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Bokaro Steel City
Bokaro Steel City is an industrial city in eastern India known for its large integrated steel plant and planned urban layout.
|
E295179
|
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: Bokaro Steel City | Statement: [Jharkhand, hasMajorCity, Bokaro Steel City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bokaro Steel City Context triple: [Jharkhand, hasMajorCity, Bokaro Steel City]
-
A.
Bhilai
Bhilai is an industrial city in central India best known for its large steel plant and planned urban infrastructure.
-
B.
Korba
Korba is an industrial city in the Indian state of Chhattisgarh, known primarily for its coal mining and power generation industries.
-
C.
Durgapur
Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
-
D.
Jamshedpur industrial region
Jamshedpur industrial region is a major steel and engineering hub in eastern India, centered around the city of Jamshedpur and dominated by large-scale industries such as Tata Steel.
-
E.
Asansol
Asansol is a major industrial and coal-mining city in eastern India, known as one of the largest urban centers in the state of West Bengal.
- 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: Bokaro Steel City Triple: [Jharkhand, hasMajorCity, Bokaro Steel City]
Generated description
Bokaro Steel City is an industrial city in eastern India known for its large integrated steel plant and planned urban layout.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bokaro Steel City Target entity description: Bokaro Steel City is an industrial city in eastern India known for its large integrated steel plant and planned urban layout.
-
A.
Bhilai
Bhilai is an industrial city in central India best known for its large steel plant and planned urban infrastructure.
-
B.
Korba
Korba is an industrial city in the Indian state of Chhattisgarh, known primarily for its coal mining and power generation industries.
-
C.
Durgapur
Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
-
D.
Jamshedpur industrial region
Jamshedpur industrial region is a major steel and engineering hub in eastern India, centered around the city of Jamshedpur and dominated by large-scale industries such as Tata Steel.
-
E.
Asansol
Asansol is a major industrial and coal-mining city in eastern India, known as one of the largest urban centers in the state of West Bengal.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8a292c8190ab3982434805241a |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdf650c8190baa020143b51f94b |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbc67c39c8190b5932c0e23595f64 |
completed | March 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd2d8a2c8190896a9154ebbd8bab |
completed | March 10, 2026, 6:41 a.m. |
Created at: March 6, 2026, 9:56 p.m.