Triple
T9908502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellinger River |
E185078
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Thora
Thora is a small rural locality in New South Wales, Australia, situated in the Bellingen Valley near the Bellinger River.
|
E829337
|
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: Thora | Statement: [Bellinger River, passesThrough, Thora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thora Context triple: [Bellinger River, passesThrough, Thora]
-
A.
Atlakviða
Atlakviða is an Old Norse heroic poem from the Poetic Edda that recounts the tragic betrayal and violent downfall of the Burgundian (Gjúkungar) kings at the hands of Atli.
-
B.
Skaði
Skaði is a giantess and goddess in Norse mythology associated with skiing, winter, and mountains, known for her marriage to the god Njord.
-
C.
Þór
Þór is the Old Norse thunder god of Norse mythology, known for wielding the hammer Mjölnir and protecting gods and humans from giants.
-
D.
Hulda
Hulda is a feminine given name of Germanic origin, historically used in Scandinavian and German-speaking countries.
-
E.
Thora Hird
Thora Hird was a beloved English actress and comedian known for her extensive work in film, television, and theatre, particularly in British sitcoms and dramas.
- 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: Thora Triple: [Bellinger River, passesThrough, Thora]
Generated description
Thora is a small rural locality in New South Wales, Australia, situated in the Bellingen Valley near the Bellinger River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thora Target entity description: Thora is a small rural locality in New South Wales, Australia, situated in the Bellingen Valley near the Bellinger River.
-
A.
Atlakviða
Atlakviða is an Old Norse heroic poem from the Poetic Edda that recounts the tragic betrayal and violent downfall of the Burgundian (Gjúkungar) kings at the hands of Atli.
-
B.
Skaði
Skaði is a giantess and goddess in Norse mythology associated with skiing, winter, and mountains, known for her marriage to the god Njord.
-
C.
Þór
Þór is the Old Norse thunder god of Norse mythology, known for wielding the hammer Mjölnir and protecting gods and humans from giants.
-
D.
Hulda
Hulda is a feminine given name of Germanic origin, historically used in Scandinavian and German-speaking countries.
-
E.
Thora Hird
Thora Hird was a beloved English actress and comedian known for her extensive work in film, television, and theatre, particularly in British sitcoms and dramas.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50feb008190aa9c084f590c0ebd |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20daabd5881908b02da50a640766a |
completed | April 5, 2026, 7:22 a.m. |
| NEDg | Description generation | batch_69d20ef343a4819093b915a66c63fbaa |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212d0ed108190bbde23439734618a |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:41 p.m.