Triple
T7699161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shivamogga |
E174444
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object |
Agumbe
Agumbe is a small hill station in the Western Ghats of Karnataka, India, renowned for its heavy rainfall, lush rainforests, and rich biodiversity.
|
E682856
|
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: Agumbe | Statement: [Shivamogga, hasNearbyAttraction, Agumbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agumbe Context triple: [Shivamogga, hasNearbyAttraction, Agumbe]
-
A.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
B.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
C.
Mavalli
Mavalli is a neighborhood in Bengaluru, India, known for its proximity to Lalbagh Botanical Garden and its mix of residential areas, local markets, and historic eateries.
-
D.
Tharangambadi
Tharangambadi is a historic coastal town in Tamil Nadu, India, known for its former Danish colonial settlement, seaside fort, and blend of Indian and European heritage.
-
E.
Vengurla
Vengurla is a coastal town in Maharashtra, India, known for its scenic beaches, historic forts, and cashew plantations.
- 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: Agumbe Triple: [Shivamogga, hasNearbyAttraction, Agumbe]
Generated description
Agumbe is a small hill station in the Western Ghats of Karnataka, India, renowned for its heavy rainfall, lush rainforests, and rich biodiversity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agumbe Target entity description: Agumbe is a small hill station in the Western Ghats of Karnataka, India, renowned for its heavy rainfall, lush rainforests, and rich biodiversity.
-
A.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
B.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
C.
Mavalli
Mavalli is a neighborhood in Bengaluru, India, known for its proximity to Lalbagh Botanical Garden and its mix of residential areas, local markets, and historic eateries.
-
D.
Tharangambadi
Tharangambadi is a historic coastal town in Tamil Nadu, India, known for its former Danish colonial settlement, seaside fort, and blend of Indian and European heritage.
-
E.
Vengurla
Vengurla is a coastal town in Maharashtra, India, known for its scenic beaches, historic forts, and cashew plantations.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7026ba7b48190a18f1c1cbbf1b944 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acb3ac4481909acafe50b9507aaa |
completed | March 29, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69c8adeb3948819087404b0d7d7e619e |
completed | March 29, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8aedede388190b8eb79cea223c31c |
completed | March 29, 2026, 4:47 a.m. |
Created at: March 27, 2026, 4:03 p.m.