Triple
T18740024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchard Road |
E458263
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Orchard Central |
—
|
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: Orchard Central | Statement: [Orchard Road, hasLandmark, Orchard Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orchard Central Context triple: [Orchard Road, hasLandmark, Orchard Central]
-
A.
Orchard Central
chosen
Orchard Central is a multi-storey shopping mall in Singapore’s Orchard Road district, known for its eclectic mix of retail, dining, and lifestyle offerings.
-
B.
The Orchard Centre
The Orchard Centre is a major retail and leisure complex in Didcot, Oxfordshire, featuring a range of shops, restaurants, and services.
-
C.
Orchard Square
Orchard Square is a shopping and leisure complex in Sheffield city centre featuring a mix of retail stores, cafes, and restaurants.
-
D.
Orchard shopping belt
The Orchard shopping belt is Singapore’s premier retail and entertainment district, renowned for its upscale malls, luxury boutiques, and vibrant street life.
-
E.
Orchard Mall
Orchard Mall is a community-oriented shopping center in West Bloomfield Township, Michigan, featuring a mix of retail stores, services, and dining options.
- 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.