Triple
T17647708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mawmluh Cave |
E429404
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Cherrapunji |
—
|
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: Cherrapunji | Statement: [Mawmluh Cave, locatedNear, Cherrapunji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherrapunji Context triple: [Mawmluh Cave, locatedNear, Cherrapunji]
-
A.
Cherrapunji
chosen
Cherrapunji is a town in northeastern India renowned for its exceptionally high rainfall and dramatic living root bridges.
-
B.
Mawsynram
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.
-
C.
Ranikhet
Ranikhet is a hill station and cantonment town in the Kumaon region of Uttarakhand, India, known for its scenic Himalayan views and pleasant climate.
-
D.
Darjeeling
Darjeeling is a famous hill station in the Indian Himalayas renowned for its tea plantations, scenic mountain views, and colonial-era charm.
-
E.
Nainital
Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3a5ad8819085d4bef669fc3152 |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.