Triple
T17081243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasargod district |
E414472
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Uppala
Uppala is a prominent coastal town in Kerala’s Kasaragod district, known for its commercial activity and proximity to the Kerala–Karnataka border.
|
E1250210
|
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: Uppala | Statement: [Kasargod district, hasMajorTown, Uppala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uppala Context triple: [Kasargod district, hasMajorTown, Uppala]
-
A.
Dvaraka
Dvaraka is an ancient and sacred coastal city in western India, revered in Hindu tradition as the legendary kingdom of Lord Krishna.
-
B.
Pavapuri
Pavapuri is a revered Jain pilgrimage site in Bihar, India, best known as the place where Mahavira, the 24th Tirthankara, attained nirvana.
-
C.
Mahadevapura
Mahadevapura is a rapidly developing residential and commercial neighborhood in eastern Bengaluru, India, known for its proximity to major IT parks and tech hubs.
-
D.
Vandiyur
Vandiyur is a locality in Madurai, Tamil Nadu, known for its historic temple tank and religious significance.
-
E.
Vimanapura
Vimanapura is a residential and institutional neighborhood in eastern Bengaluru, India, known for its proximity to the old HAL Airport and several aerospace and defense establishments.
- 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: Uppala Triple: [Kasargod district, hasMajorTown, Uppala]
Generated description
Uppala is a prominent coastal town in Kerala’s Kasaragod district, known for its commercial activity and proximity to the Kerala–Karnataka border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uppala Target entity description: Uppala is a prominent coastal town in Kerala’s Kasaragod district, known for its commercial activity and proximity to the Kerala–Karnataka border.
-
A.
Dvaraka
Dvaraka is an ancient and sacred coastal city in western India, revered in Hindu tradition as the legendary kingdom of Lord Krishna.
-
B.
Pavapuri
Pavapuri is a revered Jain pilgrimage site in Bihar, India, best known as the place where Mahavira, the 24th Tirthankara, attained nirvana.
-
C.
Mahadevapura
Mahadevapura is a rapidly developing residential and commercial neighborhood in eastern Bengaluru, India, known for its proximity to major IT parks and tech hubs.
-
D.
Vandiyur
Vandiyur is a locality in Madurai, Tamil Nadu, known for its historic temple tank and religious significance.
-
E.
Vimanapura
Vimanapura is a residential and institutional neighborhood in eastern Bengaluru, India, known for its proximity to the old HAL Airport and several aerospace and defense establishments.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe2fe7c819099ab0586b1a119f6 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee416c4819087e7ae0ead47867a |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a01323dd9188190981d6994a8d1a89e |
completed | May 11, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0136310e808190a0d350ae7f216d93 |
completed | May 11, 2026, 1:51 a.m. |
Created at: April 10, 2026, 5:34 a.m.