Triple
T20146359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washim district |
E491311
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Karanja
Karanja is a town in Maharashtra, India, known for its historical and cultural significance within the Washim district.
|
E1414773
|
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: Karanja | Statement: [Washim district, hasTown, Karanja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karanja Context triple: [Washim district, hasTown, Karanja]
-
A.
Karanja (Ghadge)
Karanja (Ghadge) is a town in Maharashtra, India, known as a local administrative and commercial center within the Wardha district.
-
B.
Odumbe
Odumbe is a Kenyan surname most notably associated with former international cricketer Maurice Odumbe.
-
C.
Saraki
Saraki is a prominent Nigerian political family name most notably borne by Bukola Saraki, a former President of the Nigerian Senate.
-
D.
Santal
Santal are an indigenous ethnic group of South Asia, primarily found in India, Bangladesh, and Nepal, known for their distinct Austroasiatic language, rich oral traditions, and agrarian lifestyle.
-
E.
Fagara
Fagara is a genus of flowering plants in the citrus family Rutaceae, known for species that often have aromatic properties and spiny stems.
- 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: Karanja Triple: [Washim district, hasTown, Karanja]
Generated description
Karanja is a town in Maharashtra, India, known for its historical and cultural significance within the Washim district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karanja Target entity description: Karanja is a town in Maharashtra, India, known for its historical and cultural significance within the Washim district.
-
A.
Karanja (Ghadge)
Karanja (Ghadge) is a town in Maharashtra, India, known as a local administrative and commercial center within the Wardha district.
-
B.
Odumbe
Odumbe is a Kenyan surname most notably associated with former international cricketer Maurice Odumbe.
-
C.
Saraki
Saraki is a prominent Nigerian political family name most notably borne by Bukola Saraki, a former President of the Nigerian Senate.
-
D.
Santal
Santal are an indigenous ethnic group of South Asia, primarily found in India, Bangladesh, and Nepal, known for their distinct Austroasiatic language, rich oral traditions, and agrarian lifestyle.
-
E.
Fagara
Fagara is a genus of flowering plants in the citrus family Rutaceae, known for species that often have aromatic properties and spiny stems.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08346b8d7c819091e112e391ab1b58 |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08366132148190a316f28e027664eb |
completed | May 16, 2026, 9:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08370f25c4819085da226ded7ae658 |
completed | May 16, 2026, 9:21 a.m. |
Created at: April 11, 2026, 11:33 p.m.