Triple
T12695277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharathapuzha |
E303315
|
entity |
| Predicate | hasNotableTownOnBank |
P14082
|
FINISHED |
| Object | Kuttippuram |
E1009731
|
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: Kuttippuram | Statement: [Bharathapuzha, hasNotableTownOnBank, Kuttippuram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuttippuram Context triple: [Bharathapuzha, hasNotableTownOnBank, Kuttippuram]
-
A.
Kuttippuram
chosen
Kuttippuram is a town in the Malappuram district of Kerala, India, known as a key transport hub and riverside settlement along the Bharathapuzha.
-
B.
Cherthala
Cherthala is a coastal town in the Alappuzha district of Kerala, India, known for its backwaters, coir industry, and proximity to Vembanad Lake.
-
C.
North Paravur
North Paravur is a historic coastal town and suburban hub in the northern part of Kerala’s Ernakulam district, known for its trading legacy, temples, and churches.
-
D.
Thrippunithura
Thrippunithura is a historic suburban town near Kochi in Kerala, India, known for its royal heritage, temples, and classical arts traditions.
-
E.
Malappuram
Malappuram is a city and district headquarters in the Indian state of Kerala, known for its rich cultural heritage and rapidly growing urban landscape.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0dace788190bf2663984801f38c |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:22 p.m.