Triple
T3110072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryde |
E64928
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | RYDE |
E64928
|
NE FINISHED |
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: RYDE | Statement: [Ryde, postalTown, RYDE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RYDE Context triple: [Ryde, postalTown, RYDE]
-
A.
Ryde
chosen
Ryde is a prominent seaside town and popular tourist destination on the Isle of Wight in England.
-
B.
Ryde
Ryde is a suburban area in northern Sydney, Australia, known for its residential neighborhoods, commercial centers, and proximity to the Parramatta River.
-
C.
Sunnyside
Sunnyside was the South African parliamentary constituency represented by Hendrik Verwoerd, the prime minister widely regarded as the chief architect of apartheid.
-
D.
Sunnyside
Sunnyside is a residential neighborhood in the western part of Queens, New York City, known for its diverse community and prewar apartment buildings.
-
E.
Cow Hollow
Cow Hollow is a San Francisco neighborhood known for its upscale residential streets, boutique shopping, and lively dining and nightlife scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada437c5e08190af22f6fa11cf9252 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203902a6881909b20589fad629640 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:04 p.m.