Triple
T14246880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muswellbrook Shire |
E353157
|
entity |
| Predicate | containsLocality |
P45140
|
FINISHED |
| Object |
Baerami
Baerami is a rural locality in the Upper Hunter region of New South Wales, Australia, known for its agricultural land and proximity to Wollemi National Park.
|
E1087415
|
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: Baerami | Statement: [Muswellbrook Shire, containsLocality, Baerami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baerami Context triple: [Muswellbrook Shire, containsLocality, Baerami]
-
A.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
B.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
-
C.
Gukmun
Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
-
D.
Pangim
Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
-
E.
Goemai
Goemai is a West Chadic language spoken primarily in central Nigeria by the Goemai people.
- 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: Baerami Triple: [Muswellbrook Shire, containsLocality, Baerami]
Generated description
Baerami is a rural locality in the Upper Hunter region of New South Wales, Australia, known for its agricultural land and proximity to Wollemi National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baerami Target entity description: Baerami is a rural locality in the Upper Hunter region of New South Wales, Australia, known for its agricultural land and proximity to Wollemi National Park.
-
A.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
B.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
-
C.
Gukmun
Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
-
D.
Pangim
Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
-
E.
Goemai
Goemai is a West Chadic language spoken primarily in central Nigeria by the Goemai people.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de629464f88190817b190731bab156 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282571ec819080d187ecec3ed925 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2a9da52481909f580eb0df3e1922 |
completed | May 8, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b270c9c8190a573e53ca9af4e4b |
completed | May 8, 2026, 12:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.