Triple
T6203820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Area, Singapore |
E138699
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bras Basah
Bras Basah is a historic civic and cultural district in Singapore known for its museums, educational institutions, and arts venues near the city center.
|
E576619
|
NE FINISHED |
How this triple was built (4 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: Bras Basah | Statement: [Central Area, Singapore, contains, Bras Basah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bras Basah Context triple: [Central Area, Singapore, contains, Bras Basah]
-
A.
Kota Hujan
Kota Hujan is the popular nickname for Bogor, an Indonesian city renowned for its frequent rainfall and cool, wet climate.
-
B.
Wazhazhe
Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
-
C.
Beng ü Bade
Beng ü Bade is a celebrated allegorical poem by the 16th-century Azerbaijani poet Fuzuli, known for its rich mystical and philosophical themes.
-
D.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
E.
Bawitdaba
"Bawitdaba" is a high-energy rap-rock song by Kid Rock that became one of his signature hits and helped propel him to mainstream fame in the late 1990s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bras Basah Triple: [Central Area, Singapore, contains, Bras Basah]
Generated description
Bras Basah is a historic civic and cultural district in Singapore known for its museums, educational institutions, and arts venues near the city center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bras Basah Target entity description: Bras Basah is a historic civic and cultural district in Singapore known for its museums, educational institutions, and arts venues near the city center.
-
A.
Kota Hujan
Kota Hujan is the popular nickname for Bogor, an Indonesian city renowned for its frequent rainfall and cool, wet climate.
-
B.
Wazhazhe
Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
-
C.
Beng ü Bade
Beng ü Bade is a celebrated allegorical poem by the 16th-century Azerbaijani poet Fuzuli, known for its rich mystical and philosophical themes.
-
D.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
E.
Bawitdaba
"Bawitdaba" is a high-energy rap-rock song by Kid Rock that became one of his signature hits and helped propel him to mainstream fame in the late 1990s.
- F. None of above. chosen
Provenance (5 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626c23f481909d2b5b0a75c2ffff |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f412d848190a8e78ad7822aa399 |
completed | March 23, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_69c1e3029cbc8190bed9449ec60412c0 |
completed | March 24, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e42a4c848190bc3a9273d5a6e211 |
completed | March 24, 2026, 1:08 a.m. |
Created at: March 22, 2026, 4:20 p.m.