Triple
T246875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telugu |
E5056
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Singapore |
E3670
|
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: Singapore | Statement: [Telugu, spokenIn, Singapore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singapore Context triple: [Telugu, spokenIn, Singapore]
-
A.
Singapore
chosen
Singapore is a sovereign city-state and island nation in Southeast Asia known for its global financial hub status, multicultural society, and highly developed, efficient infrastructure.
-
B.
Malaysia
Malaysia is a Southeast Asian country on the Malay Peninsula and parts of Borneo, known for its multicultural society, tropical rainforests, and rapidly developing economy.
-
C.
Straits Settlements
The Straits Settlements were a group of British colonial territories in Southeast Asia, including key trading ports such as Singapore, Penang, and Malacca.
-
D.
Hong Kong, China
Hong Kong, China is a major global financial and trading hub and a Special Administrative Region of China located on the southern coast of the country.
-
E.
Macau
Macau is a Special Administrative Region of China known for its blend of Portuguese and Chinese cultures and its major casino and tourism industry.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d13b8088190a3f48f0388d57496 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d0313b48190a3e8e1667a051610 |
completed | March 1, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.