Triple
T18740009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchard Road |
E458263
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Central Area |
—
|
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: Central Area | Statement: [Orchard Road, locatedIn, Central Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Area Context triple: [Orchard Road, locatedIn, Central Area]
-
A.
Central Area
chosen
Central Area is the main commercial and downtown core of Singapore, encompassing its primary business, financial, and civic districts.
-
B.
Central Area
Central Area is a main recreational section of Gunpowder Falls State Park in Maryland, offering outdoor activities such as hiking, fishing, and picnicking.
-
C.
Central Zone
Central Zone is the central urban district of São Paulo, Brazil, encompassing the historic downtown area and serving as a major hub for commerce, transport, and public services.
-
D.
Central Districts
Central Districts is a New Zealand domestic first-class cricket team representing several central regions of the country in national competitions.
-
E.
Mid-Cities region
The Mid-Cities region is a suburban area in North Texas situated between Dallas and Fort Worth, encompassing several cities that serve as residential and commercial hubs for the larger metroplex.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768d6a208190817abe904fab433b |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.