Triple
T879451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhya Pradesh |
E18993
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Balaghat
Balaghat is a city in the Indian state of Madhya Pradesh known for its rich mineral resources, especially manganese and copper, and its proximity to forested and wildlife-rich areas.
|
E108084
|
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: Balaghat | Statement: [Madhya Pradesh, hasMajorCity, Balaghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balaghat Context triple: [Madhya Pradesh, hasMajorCity, Balaghat]
-
A.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
-
B.
Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
-
C.
Mathura
Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
-
D.
Dharmakshetra
Dharmakshetra is the sacred battlefield of Kurukshetra in the Indian epic Mahabharata, revered as a holy site where the Bhagavad Gita was spoken.
-
E.
Srirangam
Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
- 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: Balaghat Triple: [Madhya Pradesh, hasMajorCity, Balaghat]
Generated description
Balaghat is a city in the Indian state of Madhya Pradesh known for its rich mineral resources, especially manganese and copper, and its proximity to forested and wildlife-rich areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balaghat Target entity description: Balaghat is a city in the Indian state of Madhya Pradesh known for its rich mineral resources, especially manganese and copper, and its proximity to forested and wildlife-rich areas.
-
A.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
-
B.
Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
-
C.
Mathura
Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
-
D.
Dharmakshetra
Dharmakshetra is the sacred battlefield of Kurukshetra in the Indian epic Mahabharata, revered as a holy site where the Bhagavad Gita was spoken.
-
E.
Srirangam
Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acc9d5f4819087afbb75b6ac3dbf |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf55fec481908460522373cc48ba |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7cfecba308190ae966e2e28e474b0 |
completed | March 4, 2026, 6:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d041893881908a2dbf7af521db4d |
completed | March 4, 2026, 6:25 a.m. |
Created at: March 1, 2026, 7:39 p.m.