Triple
T2967030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindhudurg |
E80190
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Vengurla
Vengurla is a coastal town in Maharashtra, India, known for its scenic beaches, historic forts, and cashew plantations.
|
E316878
|
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: Vengurla | Statement: [Sindhudurg, hasMajorTown, Vengurla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vengurla Context triple: [Sindhudurg, hasMajorTown, Vengurla]
-
A.
Marvadi
Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
-
B.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
C.
Wandoor
Wandoor is a coastal village in the Andaman Islands of India, known as a gateway to the Mahatma Gandhi Marine National Park and its surrounding beaches and coral reefs.
-
D.
Kanchrapara
Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
-
E.
Verbania
Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
- 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: Vengurla Triple: [Sindhudurg, hasMajorTown, Vengurla]
Generated description
Vengurla is a coastal town in Maharashtra, India, known for its scenic beaches, historic forts, and cashew plantations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vengurla Target entity description: Vengurla is a coastal town in Maharashtra, India, known for its scenic beaches, historic forts, and cashew plantations.
-
A.
Marvadi
Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
-
B.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
C.
Wandoor
Wandoor is a coastal village in the Andaman Islands of India, known as a gateway to the Mahatma Gandhi Marine National Park and its surrounding beaches and coral reefs.
-
D.
Kanchrapara
Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
-
E.
Verbania
Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad996e93788190ba9883714d4dfa0c |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108e14e288190bcca59b2d8132996 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10e65ae8c81908f4f9ba9dd4de206 |
completed | March 11, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10ece90e88190b84dde41579bf751 |
completed | March 11, 2026, 6:42 a.m. |
Created at: March 8, 2026, 2:58 p.m.