Triple
T11604260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Periyar River |
E275212
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object | Aluva |
E793910
|
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: Aluva | Statement: [Periyar River, majorCityOnRiver, Aluva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aluva Context triple: [Periyar River, majorCityOnRiver, Aluva]
-
A.
Aluva
chosen
Aluva is a suburban town in the Indian state of Kerala, known as a major transportation hub and gateway to Kochi, situated along the Periyar River.
-
B.
Kuppali
Kuppali is a village in the Indian state of Karnataka, best known as the birthplace and childhood home of the renowned Kannada writer Kuvempu (Kuppali Venkatappa Puttappa).
-
C.
Mavalli
Mavalli is a neighborhood in Bengaluru, India, known for its proximity to Lalbagh Botanical Garden and its mix of residential areas, local markets, and historic eateries.
-
D.
Amalapuram
Amalapuram is a town in the Konaseema region of Andhra Pradesh, India, known as a regional educational and commercial center surrounded by lush coconut and paddy fields.
-
E.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a8022800819096d7a87ac8c1c751 |
completed | April 22, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:38 p.m.