Triple
T8615122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khasi Hills |
E204015
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Mawsynram |
E162722
|
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: Mawsynram | Statement: [Khasi Hills, majorTown, Mawsynram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mawsynram Context triple: [Khasi Hills, majorTown, Mawsynram]
-
A.
Mawsynram
chosen
Mawsynram is a village in the Indian state of Meghalaya renowned for being one of the wettest places on Earth, receiving extraordinarily high annual rainfall.
-
B.
Cherrapunji
Cherrapunji is a town in northeastern India renowned for its exceptionally high rainfall and dramatic living root bridges.
-
C.
Mawlynnong
Mawlynnong is a village in the Indian state of Meghalaya renowned for its exceptional cleanliness, eco-friendly practices, and living root bridges.
-
D.
Shillong Peak
Shillong Peak is the highest point in Shillong, India, offering panoramic views of the city and surrounding hills and serving as a popular scenic lookout for visitors.
-
E.
Tawang
Tawang is a remote Himalayan town in northeastern India known for its large 17th-century Buddhist monastery and scenic mountain landscapes near the India–China border.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc47020748819090f658c115c1a7b9 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbc1d8a08190bbcf7c4cef0fe04d |
completed | April 2, 2026, 6:56 p.m. |
Created at: March 30, 2026, 6:25 p.m.