Triple
T22889999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Jakarta |
E567710
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Thamrin business district |
—
|
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: Thamrin business district | Statement: [Central Jakarta, contains, Thamrin business district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thamrin business district Context triple: [Central Jakarta, contains, Thamrin business district]
-
A.
Kita business district
The Kita business district is one of Osaka’s main commercial and office hubs, centered around the Umeda area and known for its dense concentration of businesses, shopping complexes, and transportation links.
-
B.
Pangyo business district
Pangyo business district is a major high-tech and startup hub in Seongnam, South Korea, often dubbed the country’s “Silicon Valley” for its concentration of IT and internet companies.
-
C.
Kannai business district
Kannai business district is a central commercial and administrative area of Yokohama known for its government offices, corporate buildings, and historic urban streetscape.
-
D.
Dugbe business district
Dugbe business district is a major commercial and administrative hub in Ibadan, Nigeria, known for its dense concentration of markets, shops, and corporate offices.
-
E.
Namba commercial district
Namba commercial district is a major shopping, entertainment, and nightlife hub in Osaka, Japan, known for its bustling streets, neon signage, and dense concentration of stores, restaurants, and theaters.
- 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: Thamrin business district Target entity description: Thamrin business district is a major commercial and financial hub in Jakarta, known for its high-rise offices, shopping centers, and proximity to key government and business institutions.
-
A.
Kita business district
The Kita business district is one of Osaka’s main commercial and office hubs, centered around the Umeda area and known for its dense concentration of businesses, shopping complexes, and transportation links.
-
B.
Pangyo business district
Pangyo business district is a major high-tech and startup hub in Seongnam, South Korea, often dubbed the country’s “Silicon Valley” for its concentration of IT and internet companies.
-
C.
Kannai business district
Kannai business district is a central commercial and administrative area of Yokohama known for its government offices, corporate buildings, and historic urban streetscape.
-
D.
Dugbe business district
Dugbe business district is a major commercial and administrative hub in Ibadan, Nigeria, known for its dense concentration of markets, shops, and corporate offices.
-
E.
Namba commercial district
Namba commercial district is a major shopping, entertainment, and nightlife hub in Osaka, Japan, known for its bustling streets, neon signage, and dense concentration of stores, restaurants, and theaters.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc479d48190a8218eceaebd6cc8 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.