Triple
T3260939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulsoor Lake |
E68406
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object |
Halasuru
Halasuru is a historic neighborhood in eastern Bengaluru, India, known for its temples, markets, and proximity to Ulsoor Lake.
|
E342837
|
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: Halasuru | Statement: [Ulsoor Lake, locatedInNeighborhood, Halasuru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halasuru Context triple: [Ulsoor Lake, locatedInNeighborhood, Halasuru]
-
A.
Devanahalli
Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
-
B.
Hogenakkal
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
-
C.
Kundapura
Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
-
D.
Heggadadevanakote
Heggadadevanakote is a town in Karnataka, India, known for its proximity to the Kabini River, wildlife reserves, and rich rural landscapes.
-
E.
Singhwara
Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
- 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: Halasuru Triple: [Ulsoor Lake, locatedInNeighborhood, Halasuru]
Generated description
Halasuru is a historic neighborhood in eastern Bengaluru, India, known for its temples, markets, and proximity to Ulsoor Lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halasuru Target entity description: Halasuru is a historic neighborhood in eastern Bengaluru, India, known for its temples, markets, and proximity to Ulsoor Lake.
-
A.
Devanahalli
Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
-
B.
Hogenakkal
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
-
C.
Kundapura
Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
-
D.
Heggadadevanakote
Heggadadevanakote is a town in Karnataka, India, known for its proximity to the Kabini River, wildlife reserves, and rich rural landscapes.
-
E.
Singhwara
Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
- 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_69b28ede248c8190b5a1f9403787361c |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b2966f189c8190bb56daea54be8a93 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6c1c65c81909e661c6beaaec9af |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:09 p.m.