Triple
T14591754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somerset Region |
E342463
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Toogoolawah
Toogoolawah is a small rural town in Queensland, Australia, known for its agricultural surroundings and heritage-listed sites.
|
E1109306
|
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: Toogoolawah | Statement: [Somerset Region, hasTown, Toogoolawah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toogoolawah Context triple: [Somerset Region, hasTown, Toogoolawah]
-
A.
Toogoom
Toogoom is a small coastal town in Queensland, Australia, known for its quiet beaches and relaxed seaside lifestyle within the Fraser Coast area.
-
B.
Ofogoula
Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
-
C.
Seegloo
Seegloo was an Inuit guide and hunter who took part in early 20th-century Arctic exploration, including expeditions toward the North Pole.
-
D.
Andoolo
Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
-
E.
Booligal
Booligal is a small rural locality in New South Wales, Australia, known historically as an outback river settlement on the plains of the Riverina region.
- 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: Toogoolawah Triple: [Somerset Region, hasTown, Toogoolawah]
Generated description
Toogoolawah is a small rural town in Queensland, Australia, known for its agricultural surroundings and heritage-listed sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toogoolawah Target entity description: Toogoolawah is a small rural town in Queensland, Australia, known for its agricultural surroundings and heritage-listed sites.
-
A.
Toogoom
Toogoom is a small coastal town in Queensland, Australia, known for its quiet beaches and relaxed seaside lifestyle within the Fraser Coast area.
-
B.
Ofogoula
Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
-
C.
Seegloo
Seegloo was an Inuit guide and hunter who took part in early 20th-century Arctic exploration, including expeditions toward the North Pole.
-
D.
Andoolo
Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
-
E.
Booligal
Booligal is a small rural locality in New South Wales, Australia, known historically as an outback river settlement on the plains of the Riverina region.
- 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.