Triple
T19478621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Names of Singapore |
E487318
|
entity |
| Predicate | hasHistoricalName |
P2834
|
FINISHED |
| Object | Singapura |
—
|
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: Singapura | Statement: [Names of Singapore, hasHistoricalName, Singapura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singapura Context triple: [Names of Singapore, hasHistoricalName, Singapura]
-
A.
Lingapura
Lingapura is the ancient name for Koh Ker, a 10th-century Khmer temple complex and former capital of the Khmer Empire in northern Cambodia.
-
B.
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.
-
C.
Singhpur
Singhpur is a historical town that served as the capital of the Sikh Singhpuria Misl confederacy in Punjab.
-
D.
Lion City
Lion City is a popular nickname for Singapore, reflecting its legendary origins and status as a powerful, modern city-state.
-
E.
Singa city
Singa city is the capital of Sudan’s Sennar State, serving as an important administrative and commercial center along the Blue Nile.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63437b9748190a8fc6bf6b3d90918 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.