Triple
T12152765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharuch district |
E289498
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Vagra
Vagra is a small town in the Bharuch district of Gujarat, India, known primarily as a local administrative and agricultural center.
|
E966969
|
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: Vagra | Statement: [Bharuch district, containsTown, Vagra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vagra Context triple: [Bharuch district, containsTown, Vagra]
-
A.
Veeragase
Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
-
B.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
C.
Sangaride
Sangaride is a mythological figure best known as the beloved of Atys in ancient legends and later operatic adaptations.
-
D.
Rishra
Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
-
E.
Vegora
Vegora is a settlement in northern Greece located close to Lake Vegoritida, known for its scenic lakeside surroundings.
- 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: Vagra Triple: [Bharuch district, containsTown, Vagra]
Generated description
Vagra is a small town in the Bharuch district of Gujarat, India, known primarily as a local administrative and agricultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vagra Target entity description: Vagra is a small town in the Bharuch district of Gujarat, India, known primarily as a local administrative and agricultural center.
-
A.
Veeragase
Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
-
B.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
C.
Sangaride
Sangaride is a mythological figure best known as the beloved of Atys in ancient legends and later operatic adaptations.
-
D.
Rishra
Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
-
E.
Vegora
Vegora is a settlement in northern Greece located close to Lake Vegoritida, known for its scenic lakeside surroundings.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915bf615c8190ad5f8ae8665678dc |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69aa2e88190aaa58468571d6dad |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f601e0777081909e1212436680a10d |
completed | May 2, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f602a21f948190849839301f49d55a |
completed | May 2, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:49 p.m.