Triple
T19963226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabandha |
E479866
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Dandakaranya |
—
|
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: Dandakaranya | Statement: [Kabandha, associatedWith, Dandakaranya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dandakaranya Context triple: [Kabandha, associatedWith, Dandakaranya]
-
A.
Dandakaranya forest
chosen
Dandakaranya forest is a vast, sparsely populated forested region in central-eastern India, historically associated with tribal communities, insurgent activity, and significant socio-political conflict.
-
B.
Sapta Giri
Sapta Giri refers to the sacred cluster of seven hills that form the Tirumala hill range, home to the renowned Tirumala Venkateswara Temple in Andhra Pradesh, India.
-
C.
Kabrai
Kabrai is a town in Uttar Pradesh, India, known primarily for its stone mining and crushing industry.
-
D.
Kaligandaki
Kaligandaki is a rural municipality in Nepal’s Syangja District, named after the nearby Kali Gandaki River and known for its hilly terrain and agricultural communities.
-
E.
Bhamaw
Bhamaw is an alternative transliteration of Bhamo, a town and river port in Kachin State, northern Myanmar, near the border with China.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af619108190825cbcfb6b8e1fa5 |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.