Triple
T21285820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray and Mallee region |
E524654
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Morgan
Morgan is a small historic river town in South Australia’s Murray and Mallee region, known for its location on the Murray River and its past as a busy inland port.
|
E1476138
|
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: Morgan | Statement: [Murray and Mallee region, hasMajorTown, Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Context triple: [Murray and Mallee region, hasMajorTown, Morgan]
-
A.
Morgan
Morgan is a Chicago 'L' rapid transit station on the Near West Side serving the city's Pink and Green Lines.
-
B.
Morgan
Morgan is a common Welsh surname with deep cultural and historical roots in Wales and among people of Welsh descent.
-
C.
Morgan
Morgan is a prominent American banking and finance family name most famously associated with financier J. P. Morgan and the powerful House of Morgan banking dynasty.
-
D.
Morgan
Morgan is a common English surname borne by numerous notable individuals across fields such as science, finance, and entertainment.
-
E.
Morgan
Morgan is the second-generation core design used in AMD's Duron processors, featuring improvements in performance and efficiency over the original Spitfire core.
- 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: Morgan Triple: [Murray and Mallee region, hasMajorTown, Morgan]
Generated description
Morgan is a small historic river town in South Australia’s Murray and Mallee region, known for its location on the Murray River and its past as a busy inland port.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Target entity description: Morgan is a small historic river town in South Australia’s Murray and Mallee region, known for its location on the Murray River and its past as a busy inland port.
-
A.
Morgan
Morgan is a small city in northern Utah that serves as the administrative and commercial center of Morgan County.
-
B.
Morgan
Morgan is a residential neighborhood within the borough of Sayreville in Middlesex County, New Jersey.
-
C.
Morgan
Morgan is a common Welsh surname with deep cultural and historical roots in Wales and among people of Welsh descent.
-
D.
Morgan
Morgan is a Chicago 'L' rapid transit station on the Near West Side serving the city's Pink and Green Lines.
-
E.
Morgan
Morgan is a prominent law firm that forms part of the larger legal practice Lloyd, Morgan & Jones.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d658e08190ad2f267123d53ede |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099809b3d88190b78ddeae641a7abf |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998f27c6c81908a88a4a831445d57 |
completed | May 17, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09996c8d7c81908cc9874f6e1a3fff |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:03 p.m.