Triple
T902531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramayana |
E19476
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Lanka |
E23066
|
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: Lanka | Statement: [Ramayana, setting, Lanka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanka Context triple: [Ramayana, setting, Lanka]
-
A.
Sri Lanka
chosen
Sri Lanka is an island nation in the Indian Ocean known for its rich cultural heritage, diverse landscapes, and strategic location off the southern coast of India.
-
B.
Central Province of Sri Lanka
The Central Province of Sri Lanka is a mountainous inland region known for its historic cities like Kandy, tea plantations, and cultural significance as a heartland of Sinhalese heritage.
-
C.
SRILANKAN
SRILANKAN is the radio callsign used by SriLankan Airlines, the flag carrier of Sri Lanka.
-
D.
Southern Province, Sri Lanka
Southern Province, Sri Lanka is a coastal administrative region in the south of Sri Lanka known for its historic cities, beaches, and cultural heritage.
-
E.
Ceylon (Dutch Ceylon)
Ceylon (Dutch Ceylon) was a former Dutch colonial territory on the island of Sri Lanka, controlled mainly for its strategic ports and lucrative cinnamon trade from the mid-17th to late 18th century.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad56f4c08190a7a5091ff0eb3209 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4bfe2ce081908c358689ec2c58e6 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:39 p.m.