Triple
T14591602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan City |
E342460
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Loganholme
Loganholme is a residential and commercial suburb in the City of Logan, Queensland, Australia, known for its proximity to major motorways and the Logan River.
|
E1109271
|
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: Loganholme | Statement: [Logan City, hasSuburb, Loganholme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loganholme Context triple: [Logan City, hasSuburb, Loganholme]
-
A.
Dunholme
Dunholme is a village and civil parish in the West Lindsey district of Lincolnshire, England, known for its rural character and proximity to the city of Lincoln.
-
B.
Wainhill
Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
-
C.
Littondale
Littondale is a scenic side valley of the Yorkshire Dales in North Yorkshire, England, known for its traditional villages, limestone scenery, and tranquil rural character.
-
D.
Wormhill
Wormhill is a small rural village in Derbyshire, England, situated within the scenic Peak District National Park.
-
E.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
- 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: Loganholme Triple: [Logan City, hasSuburb, Loganholme]
Generated description
Loganholme is a residential and commercial suburb in the City of Logan, Queensland, Australia, known for its proximity to major motorways and the Logan River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loganholme Target entity description: Loganholme is a residential and commercial suburb in the City of Logan, Queensland, Australia, known for its proximity to major motorways and the Logan River.
-
A.
Dunholme
Dunholme is a village and civil parish in the West Lindsey district of Lincolnshire, England, known for its rural character and proximity to the city of Lincoln.
-
B.
Wainhill
Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
-
C.
Littondale
Littondale is a scenic side valley of the Yorkshire Dales in North Yorkshire, England, known for its traditional villages, limestone scenery, and tranquil rural character.
-
D.
Wormhill
Wormhill is a small rural village in Derbyshire, England, situated within the scenic Peak District National Park.
-
E.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4249af08190962009741d1f7d41 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c36bb881909af16aa1df1766f8 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd9ab12c38819081772da28b5fe7da |
completed | May 8, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9bb4dba08190b2ed507a47462b34 |
completed | May 8, 2026, 8:15 a.m. |
Created at: April 10, 2026, 1:24 a.m.