Triple
T22458933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Vengara
Vengara is a prominent town in the Malappuram district of Kerala, India, known for its local commerce and role as a regional hub.
|
E1537794
|
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: Vengara | Statement: [Malappuram district, hasMajorTown, Vengara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vengara Context triple: [Malappuram district, hasMajorTown, Vengara]
-
A.
Vengoor
Vengoor is a village in the Aluva taluk of Ernakulam district in the Indian state of Kerala.
-
B.
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.
-
C.
Nagavara
Nagavara is a rapidly developing residential and commercial neighborhood in northern Bangalore, known for its proximity to tech parks, major road links, and the Manyata Tech Park.
-
D.
Vengi
Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
-
E.
Dangamvura
Dangamvura is a residential suburb of Mutare, a major city in eastern Zimbabwe.
- 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: Vengara Triple: [Malappuram district, hasMajorTown, Vengara]
Generated description
Vengara is a prominent town in the Malappuram district of Kerala, India, known for its local commerce and role as a regional hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vengara Target entity description: Vengara is a prominent town in the Malappuram district of Kerala, India, known for its local commerce and role as a regional hub.
-
A.
Vengoor
Vengoor is a village in the Aluva taluk of Ernakulam district in the Indian state of Kerala.
-
B.
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.
-
C.
Nagavara
Nagavara is a rapidly developing residential and commercial neighborhood in northern Bangalore, known for its proximity to tech parks, major road links, and the Manyata Tech Park.
-
D.
Vengi
Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
-
E.
Dangamvura
Dangamvura is a residential suburb of Mutare, a major city in eastern Zimbabwe.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c8217ac8190af16df3d941446ce |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d1e3ba08190bf963526973cd462 |
completed | May 18, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0dc247b88190b8c54084c5727941 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:48 p.m.