Triple
T22248606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasol |
E549911
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Malana |
—
|
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: Malana | Statement: [Kasol, near, Malana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malana Context triple: [Kasol, near, Malana]
-
A.
Malana
chosen
Malana is a remote, ancient village in India's Himachal Pradesh, known for its distinct culture, self-governance traditions, and famed Malana cream cannabis.
-
B.
Kathamala
Kathamala is a renowned Bengali literary work by Ishwar Chandra Vidyasagar, known for its moral and educational stories aimed at children and young readers.
-
C.
Marhaura
Marhaura is a prominent town in Bihar, India, known historically as an industrial and commercial center within the Saran region.
-
D.
Sonmiani
Sonmiani is a coastal town in Pakistan’s Balochistan province known for its beach, fishing community, and strategic location along the Arabian Sea.
-
E.
Satpuli
Satpuli is a small town in the Pauri Garhwal region of Uttarakhand, India, known as a local market and transit hub along the banks of the Nayar River in the Himalayan foothills.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13219dc3481908dd987c4e98623e6 |
completed | April 28, 2026, 10:18 p.m. |
Created at: April 16, 2026, 8:38 p.m.