Triple
T19470233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Inheritance of Loss |
E487101
|
entity |
| Predicate | setInRegion |
P285
|
FINISHED |
| Object | Kalimpong |
—
|
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: Kalimpong | Statement: [The Inheritance of Loss, setInRegion, Kalimpong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalimpong Context triple: [The Inheritance of Loss, setInRegion, Kalimpong]
-
A.
Kalimpong
chosen
Kalimpong is a hill station and town in the eastern Himalayas of India, known for its scenic views, Buddhist monasteries, and colonial-era architecture.
-
B.
Bandarban
Bandarban is a hilly district and popular tourist destination in southeastern Bangladesh, known for its scenic landscapes, indigenous communities, and proximity to the country’s highest peaks.
-
C.
Bikapur
Bikapur is a town and administrative subdivision in the Ayodhya district of Uttar Pradesh, India, known for its proximity to the historic city of Ayodhya.
-
D.
Jalukbari
Jalukbari is a locality in Guwahati, Assam, known as an educational hub that hosts institutions such as Gauhati University.
-
E.
Majerhat
Majerhat is a locality in south Kolkata, India, known for its railway station and road bridge that serve as important transport links in the area.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e809008190b0021d41b99f9700 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.