Triple
T5926382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marathwada |
E131820
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Beed
Beed is a prominent city in the Marathwada region of Maharashtra, India, known as an important local administrative and commercial center.
|
E556971
|
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: Beed | Statement: [Marathwada, hasMajorCity, Beed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beed Context triple: [Marathwada, hasMajorCity, Beed]
-
A.
Mhow
Mhow is a cantonment town in the Indore district of Madhya Pradesh, India, historically significant as a British-era military base and now known as Dr. Ambedkar Nagar.
-
B.
Buldhana
Buldhana is a district in the Indian state of Maharashtra known for its Marathi-speaking population and use of the Varhadi dialect.
-
C.
Bhiwadi
Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
-
D.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
E.
Ratlam
Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
- 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: Beed Triple: [Marathwada, hasMajorCity, Beed]
Generated description
Beed is a prominent city in the Marathwada region of Maharashtra, India, known as an important local administrative and commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beed Target entity description: Beed is a prominent city in the Marathwada region of Maharashtra, India, known as an important local administrative and commercial center.
-
A.
Mhow
Mhow is a cantonment town in the Indore district of Madhya Pradesh, India, historically significant as a British-era military base and now known as Dr. Ambedkar Nagar.
-
B.
Buldhana
Buldhana is a district in the Indian state of Maharashtra known for its Marathi-speaking population and use of the Varhadi dialect.
-
C.
Bhiwadi
Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
-
D.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
E.
Ratlam
Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038542e548190b335df9a948c8490 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c05460c481908f3efde19e3ffa2a |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1bf78908190933360b1099b1444 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c240c3ac8190895c621c3d326bfd |
completed | March 23, 2026, 4:32 a.m. |
Created at: March 22, 2026, 4 p.m.