Triple
T2858927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limestone Coast |
E63270
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Robe
Robe is a historic coastal town in South Australia known for its fishing industry, beaches, and heritage architecture.
|
E305141
|
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: Robe | Statement: [Limestone Coast, contains, Robe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robe Context triple: [Limestone Coast, contains, Robe]
-
A.
Rochon
Rochon is a French-origin surname borne by various notable individuals in fields such as entertainment, science, and public service.
-
B.
Robby
Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
-
C.
Rhume
The Rhume is a river in Lower Saxony, Germany, known as a tributary of the Leine and for its karstic spring source near the Harz mountains.
-
D.
Luella Gear
Luella Gear was an American actress and comedian known for her work in early 20th-century stage and film productions.
-
E.
Rodan
Rodan is a giant pterosaur-like kaiju from the Godzilla franchise, known for its supersonic flight and destructive shockwaves.
- 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: Robe Triple: [Limestone Coast, contains, Robe]
Generated description
Robe is a historic coastal town in South Australia known for its fishing industry, beaches, and heritage architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robe Target entity description: Robe is a historic coastal town in South Australia known for its fishing industry, beaches, and heritage architecture.
-
A.
Rochon
Rochon is a French-origin surname borne by various notable individuals in fields such as entertainment, science, and public service.
-
B.
Robby
Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
-
C.
Rhume
The Rhume is a river in Lower Saxony, Germany, known as a tributary of the Leine and for its karstic spring source near the Harz mountains.
-
D.
Luella Gear
Luella Gear was an American actress and comedian known for her work in early 20th-century stage and film productions.
-
E.
Rodan
Rodan is a giant pterosaur-like kaiju from the Godzilla franchise, known for its supersonic flight and destructive shockwaves.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8aec3c8190a4168d8c916b5268 |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d91f6448190866f6ee0491041cf |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b01e45f6e481908665e0961c3a3778 |
completed | March 10, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0224832108190be252c0245d588d2 |
completed | March 10, 2026, 1:53 p.m. |
Created at: March 6, 2026, 10:02 p.m.