Triple
T21427973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzhavoor |
E528610
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Thalayolaparambu |
—
|
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: Thalayolaparambu | Statement: [Uzhavoor, hasNearbyTown, Thalayolaparambu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalayolaparambu Context triple: [Uzhavoor, hasNearbyTown, Thalayolaparambu]
-
A.
Thalayolaparambu
chosen
Thalayolaparambu is a small town in Kerala, India, known for its cultural heritage and association with renowned Malayalam writer Vaikom Muhammad Basheer.
-
B.
Thasra
Thasra is a town located in the Kheda district of the Indian state of Gujarat.
-
C.
Nellai
Nellai is a commonly used local name for the South Indian city of Tirunelveli in Tamil Nadu, known for its historic temples and cultural heritage.
-
D.
Thenavattu
Thenavattu is a 2008 Tamil-language action film starring Jiiva and Poonam Bajwa, directed by V. V. Kathir and known for its commercial mass-masala style.
-
E.
Nagadeepa
Nagadeepa is a small but historically and religiously significant island off the northern coast of Sri Lanka, revered by both Buddhists and Hindus for its ancient temples and pilgrimage sites.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:49 p.m.