Triple
T5307152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sci-Fi City |
E120129
|
entity |
| Predicate | locatedIn |
P40
|
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: [Sci-Fi City, locatedIn, Singapore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singapore Context triple: [Sci-Fi City, locatedIn, 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.
Singapore Bar
The Singapore Bar is the professional body that regulates and represents qualified advocates and solicitors practicing law in Singapore.
-
C.
Nadi–Singapore
Nadi–Singapore is an international flight route linking Nadi, Fiji with Singapore, serving as a key air corridor between the South Pacific and Southeast Asia.
-
D.
Nanyang
Nanyang is a major prefecture-level city in southwestern Henan Province, China, known for its long history, cultural heritage, and role as a regional economic and transportation hub.
-
E.
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.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd851ee8908190814b695723247016 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10fb59ac8190ad23ea4f77a8c0e7 |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:53 p.m.