Triple
T4906595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aranya Kanda |
E109925
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Janastana |
E106302
|
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: Janastana | Statement: [Aranya Kanda, associatedPlace, Janastana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janastana Context triple: [Aranya Kanda, associatedPlace, Janastana]
-
A.
Zemst
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
-
B.
Jasdan State
chosen
Jasdan State was a former princely state in western India historically governed by the Jadeja Rajput dynasty.
-
C.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
D.
Russas
Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
-
E.
Țara Secaselor
Țara Secaselor is a historical region in Transylvania known for its traditional villages and fortified churches associated with the Transylvanian Saxon community.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e72ed5c819081104c99a398e0af |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fdd89588190ae9c8de779d89aaf |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:29 p.m.