Triple
T5932800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coastal Karnataka |
E131975
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object |
Kumta
Kumta is a coastal town in Karnataka, India, known for its beaches, temples, and proximity to the Western Ghats.
|
E555170
|
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: Kumta | Statement: [Coastal Karnataka, majorTown, Kumta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumta Context triple: [Coastal Karnataka, majorTown, Kumta]
-
A.
Kumher
Kumher is a historic town in the Braj region of northern India, known for its cultural and religious significance linked to the legends of Lord Krishna.
-
B.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
-
C.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Tundla
Tundla is a town in the Indian state of Uttar Pradesh known primarily as a major railway junction and transit hub in the Braj cultural region.
-
E.
Kathamala
Kathamala is a renowned Bengali literary work by Ishwar Chandra Vidyasagar, known for its moral and educational stories aimed at children and young readers.
- 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: Kumta Triple: [Coastal Karnataka, majorTown, Kumta]
Generated description
Kumta is a coastal town in Karnataka, India, known for its beaches, temples, and proximity to the Western Ghats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kumta Target entity description: Kumta is a coastal town in Karnataka, India, known for its beaches, temples, and proximity to the Western Ghats.
-
A.
Kumher
Kumher is a historic town in the Braj region of northern India, known for its cultural and religious significance linked to the legends of Lord Krishna.
-
B.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
-
C.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Tundla
Tundla is a town in the Indian state of Uttar Pradesh known primarily as a major railway junction and transit hub in the Braj cultural region.
-
E.
Kathamala
Kathamala is a renowned Bengali literary work by Ishwar Chandra Vidyasagar, known for its moral and educational stories aimed at children and young readers.
- 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_69c0389df18c81909027a9db7596f0c1 |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c109b3288190928dc4539a2872c2 |
completed | March 23, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1f6fe60819080a00976740b6a9c |
completed | March 23, 2026, 4:30 a.m. |
Created at: March 22, 2026, 4 p.m.