Triple
T16113161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robina Town Centre |
E390929
|
entity |
| Predicate | suburb |
P47577
|
FINISHED |
| Object | Robina |
E93131
|
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: Robina | Statement: [Robina Town Centre, suburb, Robina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robina Context triple: [Robina Town Centre, suburb, Robina]
-
A.
Robina
chosen
Robina is a master-planned residential and commercial suburb on the Gold Coast in Queensland, Australia, known for its large shopping centre and modern urban design.
-
B.
Rōben
Rōben was an influential 8th-century Japanese Buddhist monk of the Kegon school, known for helping establish major temples such as Tōdai-ji and shaping early Nara Buddhism.
-
C.
Robbin
Robbin is a given name and surname used as a variant of Robbins.
-
D.
Robin
Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
-
E.
Robin
Robin is a character in the neo-noir crime film "The Way of the Gun," involved in the movie’s gritty kidnapping plot.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20168bf98819093c3260d4fde2b53 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a44cb48190abe3b1ea27349734 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.