Triple
T3260938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulsoor Lake |
E68406
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object |
Ulsoor
Ulsoor is a historic neighborhood in central Bengaluru, India, known for its large lake, temples, and dense residential and commercial areas.
|
E344425
|
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: Ulsoor | Statement: [Ulsoor Lake, locatedInNeighborhood, Ulsoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulsoor Context triple: [Ulsoor Lake, locatedInNeighborhood, Ulsoor]
-
A.
Adyar
Adyar is a prominent neighborhood in Chennai, Tamil Nadu, known as an educational and residential hub that hosts major institutions and research centers.
-
B.
Vandalur
Vandalur is a suburban area on the outskirts of Chennai, India, best known for housing the large Arignar Anna Zoological Park.
-
C.
Chepauk
Chepauk is a coastal neighborhood in central Chennai, India, known for the historic M. A. Chidambaram cricket stadium and its proximity to Marina Beach.
-
D.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
E.
Srirangam
Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
- 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: Ulsoor Triple: [Ulsoor Lake, locatedInNeighborhood, Ulsoor]
Generated description
Ulsoor is a historic neighborhood in central Bengaluru, India, known for its large lake, temples, and dense residential and commercial areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ulsoor Target entity description: Ulsoor is a historic neighborhood in central Bengaluru, India, known for its large lake, temples, and dense residential and commercial areas.
-
A.
Adyar
Adyar is a prominent neighborhood in Chennai, Tamil Nadu, known as an educational and residential hub that hosts major institutions and research centers.
-
B.
Vandalur
Vandalur is a suburban area on the outskirts of Chennai, India, best known for housing the large Arignar Anna Zoological Park.
-
C.
Chepauk
Chepauk is a coastal neighborhood in central Chennai, India, known for the historic M. A. Chidambaram cricket stadium and its proximity to Marina Beach.
-
D.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
E.
Srirangam
Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa7fea08190b089b6174fd7cd32 |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e8369b708190aeddf21dd9440d6a |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e9c808188190b681557e010ce159 |
completed | March 12, 2026, 4:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ea5d38808190a11ebcad2c384db7 |
completed | March 12, 2026, 4:31 p.m. |
Created at: March 8, 2026, 3:09 p.m.