Triple
T18572222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffles Institution |
E453901
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bishan |
—
|
NE NERFINISHED |
How this triple was built (3 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: Bishan | Statement: [Raffles Institution, locatedIn, Bishan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bishan Context triple: [Raffles Institution, locatedIn, Bishan]
-
A.
Kwa Geok Choo
Kwa Geok Choo was a prominent Singaporean lawyer and the wife of founding Prime Minister Lee Kuan Yew, noted for her quiet but significant influence on Singapore’s early legal and political development.
-
B.
Bangi
Bangi is a town in the state of Selangor, Malaysia, known as an educational hub due to the presence of major institutions and research facilities.
-
C.
Bedok
Bedok is a large residential town and planning area in the eastern region of Singapore, known for its housing estates, amenities, and proximity to Changi Airport.
-
D.
Lim Chu Kang
Lim Chu Kang is a rural area in northwestern Singapore known for its farms, military training grounds, and proximity to nature reserves and coastal wetlands.
-
E.
Hong Lim Green
Hong Lim Green is a historic public field in Singapore that served as one of the key sites used by the Japanese military to screen and detain civilians during the Sook Ching massacre in World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bishan Target entity description: Bishan is a residential and commercial planning area and town in central Singapore known for its housing estates, schools, and transport links.
-
A.
Kwa Geok Choo
Kwa Geok Choo was a prominent Singaporean lawyer and the wife of founding Prime Minister Lee Kuan Yew, noted for her quiet but significant influence on Singapore’s early legal and political development.
-
B.
Bangi
Bangi is a town in the state of Selangor, Malaysia, known as an educational hub due to the presence of major institutions and research facilities.
-
C.
Bedok
Bedok is a large residential town and planning area in the eastern region of Singapore, known for its housing estates, amenities, and proximity to Changi Airport.
-
D.
Lim Chu Kang
Lim Chu Kang is a rural area in northwestern Singapore known for its farms, military training grounds, and proximity to nature reserves and coastal wetlands.
-
E.
Hong Lim Green
Hong Lim Green is a historic public field in Singapore that served as one of the key sites used by the Japanese military to screen and detain civilians during the Sook Ching massacre in World War II.
- F. None of above. chosen
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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b032488819098de683bb5c42c4b |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:43 a.m.