Triple
T12091791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakinada district |
E287958
|
entity |
| Predicate | hasLegislativeAssemblyConstituency |
P23217
|
FINISHED |
| Object | Tuni |
E787179
|
NE FINISHED |
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: Tuni | Statement: [Kakinada district, hasLegislativeAssemblyConstituency, Tuni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuni Context triple: [Kakinada district, hasLegislativeAssemblyConstituency, Tuni]
-
A.
Tuni
chosen
Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
-
B.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
C.
Tarusa
Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
-
D.
Fafe
Fafe is a municipality and city in northern Portugal known for its scenic landscapes, traditional granite architecture, and role as a stage in the Rally de Portugal.
-
E.
Solan
Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9151797988190b0d007ea806bcf02 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a6f22cc8190ba12c910c5ef5868 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.