Triple
T21412356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chikkaballapur district |
E528204
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Gudibande
Gudibande is a small historic town in the Indian state of Karnataka, known for its hilltop fort and scenic rural surroundings.
|
E1484352
|
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: Gudibande | Statement: [Chikkaballapur district, hasTown, Gudibande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gudibande Context triple: [Chikkaballapur district, hasTown, Gudibande]
-
A.
Nandigama
Nandigama is a town in the NTR district of Andhra Pradesh, India, known as a regional commercial and transport hub.
-
B.
Tadipatri
Tadipatri is a town in the Anantapur district of Andhra Pradesh, India, known for its granite industries and historic temples.
-
C.
Gangathura
Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
-
D.
Gauribidanur
Gauribidanur is a town in the Indian state of Karnataka known for its educational institutions, nearby research facilities, and role as a local commercial center.
-
E.
Somajiguda
Somajiguda is a prominent commercial and residential neighborhood in Hyderabad, India, known for its shopping centers, corporate offices, and proximity to major city landmarks.
- 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: Gudibande Triple: [Chikkaballapur district, hasTown, Gudibande]
Generated description
Gudibande is a small historic town in the Indian state of Karnataka, known for its hilltop fort and scenic rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gudibande Target entity description: Gudibande is a small historic town in the Indian state of Karnataka, known for its hilltop fort and scenic rural surroundings.
-
A.
Nandigama
Nandigama is a town in the NTR district of Andhra Pradesh, India, known as a regional commercial and transport hub.
-
B.
Tadipatri
Tadipatri is a town in the Anantapur district of Andhra Pradesh, India, known for its granite industries and historic temples.
-
C.
Gangathura
Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
-
D.
Gauribidanur
Gauribidanur is a town in the Indian state of Karnataka known for its educational institutions, nearby research facilities, and role as a local commercial center.
-
E.
Somajiguda
Somajiguda is a prominent commercial and residential neighborhood in Hyderabad, India, known for its shopping centers, corporate offices, and proximity to major city landmarks.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d16bfc8190a1c08dd9d0c80e02 |
completed | April 26, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8f5491081908b3d3d3f9425d6ba |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c99200a88190ad13565044dfcac0 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca3c4ec48190829b1bd83b933f53 |
completed | May 17, 2026, 2:01 p.m. |
Created at: April 16, 2026, 5:44 p.m.