Triple
T7396546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belagavi |
E170634
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object |
Kamal Basti
Kamal Basti is a historic Jain temple in Belagavi, Karnataka, known for its intricate stone architecture and religious significance.
|
E661228
|
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: Kamal Basti | Statement: [Belagavi, hasTouristAttraction, Kamal Basti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamal Basti Context triple: [Belagavi, hasTouristAttraction, Kamal Basti]
-
A.
Hari Anand Barari
Hari Anand Barari was an Indian civil servant and politician who served as a state governor, including a term as Governor of Haryana.
-
B.
Sayaji Baug
Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
-
C.
Khambhalia
Khambhalia is a prominent town in the Indian state of Gujarat, known as an important local commercial and administrative center.
-
D.
Manuchehri
Manuchehri was an 11th-century Persian court poet renowned for his vivid nature imagery, musical style, and panegyrics composed under the Ghaznavid dynasty.
-
E.
Saida Khera
Saida Khera is a village in Punjab, India, known in folklore as a setting linked to the legendary love story of Heer Ranjha.
- 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: Kamal Basti Triple: [Belagavi, hasTouristAttraction, Kamal Basti]
Generated description
Kamal Basti is a historic Jain temple in Belagavi, Karnataka, known for its intricate stone architecture and religious significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamal Basti Target entity description: Kamal Basti is a historic Jain temple in Belagavi, Karnataka, known for its intricate stone architecture and religious significance.
-
A.
Hari Anand Barari
Hari Anand Barari was an Indian civil servant and politician who served as a state governor, including a term as Governor of Haryana.
-
B.
Sayaji Baug
Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
-
C.
Khambhalia
Khambhalia is a prominent town in the Indian state of Gujarat, known as an important local commercial and administrative center.
-
D.
Manuchehri
Manuchehri was an 11th-century Persian court poet renowned for his vivid nature imagery, musical style, and panegyrics composed under the Ghaznavid dynasty.
-
E.
Saida Khera
Saida Khera is a village in Punjab, India, known in folklore as a setting linked to the legendary love story of Heer Ranjha.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f248f79c819094b1d1e2c3d511d1 |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81101dd448190bcf221f7625c9d34 |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811b681b48190a5161871f1f400f9 |
completed | March 28, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8122513d88190ab12f649e8d0d59b |
completed | March 28, 2026, 5:38 p.m. |
Created at: March 27, 2026, 3:09 p.m.