Triple
T7317961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mernda line |
E168461
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Keon Park
Keon Park is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan rail network.
|
E656860
|
NE FINISHED |
How this triple was built (4 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: Keon Park | Statement: [Mernda line, hasStation, Keon Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keon Park Context triple: [Mernda line, hasStation, Keon Park]
-
A.
Peter Sohn
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
B.
Il-woo Jung
Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
C.
Hoon Lee
Hoon Lee is an American actor and voice actor known for roles in series like Banshee and for voicing characters in animated shows and video games.
-
D.
Woo-sung Jung
Woo-sung Jung is a prominent South Korean actor and film producer known for his leading roles in action and drama films such as "Beat," "The Good, the Bad, the Weird," and "Steel Rain."
-
E.
Eui-Sung Yi
Eui-Sung Yi is a prominent architect and urban designer known for his leadership role at the innovative architecture firm Morphosis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Keon Park Triple: [Mernda line, hasStation, Keon Park]
Generated description
Keon Park is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keon Park Target entity description: Keon Park is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan rail network.
-
A.
Peter Sohn
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
B.
Il-woo Jung
Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
C.
Hoon Lee
Hoon Lee is an American actor and voice actor known for roles in series like Banshee and for voicing characters in animated shows and video games.
-
D.
Woo-sung Jung
Woo-sung Jung is a prominent South Korean actor and film producer known for his leading roles in action and drama films such as "Beat," "The Good, the Bad, the Weird," and "Steel Rain."
-
E.
Eui-Sung Yi
Eui-Sung Yi is a prominent architect and urban designer known for his leadership role at the innovative architecture firm Morphosis.
- F. None of above. chosen
Provenance (5 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef178b3081908cd0c62466069741 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eef847948190a0f2066008f63efd |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef6cf4208190b6242aaea1e20b8e |
completed | March 28, 2026, 3:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f01543e8819082bf2dfd49d8fb28 |
completed | March 28, 2026, 3:13 p.m. |
Created at: March 27, 2026, 3:02 p.m.