Triple
T22458980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Vengoor |
—
|
NE NERFINISHED |
How this triple was built (2 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: Vengoor | Statement: [Malappuram district, hasMajorTown, Vengoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vengoor Context triple: [Malappuram district, hasMajorTown, Vengoor]
-
A.
Vengoor
chosen
Vengoor is a village in the Aluva taluk of Ernakulam district in the Indian state of Kerala.
-
B.
Vengara
Vengara is a prominent town in the Malappuram district of Kerala, India, known for its local commerce and role as a regional hub.
-
C.
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.
-
D.
Vanchi
Vanchi was an ancient South Indian city that served as the political and cultural center of the Chera dynasty.
-
E.
Uzhavoor
Uzhavoor is a small town in the Kottayam district of Kerala, India, best known as the birthplace of former President of India K. R. Narayanan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 8:48 p.m.