Triple
T5193953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeton Shire |
E117222
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Gogeldrie
Gogeldrie is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the Murrumbidgee River.
|
E680407
|
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: Gogeldrie | Statement: [Leeton Shire, hasLocality, Gogeldrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gogeldrie Context triple: [Leeton Shire, hasLocality, Gogeldrie]
-
A.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
B.
Oegstgeest
Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Bodegraven
Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
-
E.
Gooi
Gooi is a region in the southeastern part of North Holland in the Netherlands, known for its affluent residential areas, media industry presence, and scenic heathlands.
- 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: Gogeldrie Triple: [Leeton Shire, hasLocality, Gogeldrie]
Generated description
Gogeldrie is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the Murrumbidgee River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gogeldrie Target entity description: Gogeldrie is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the Murrumbidgee River.
-
A.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
B.
Oegstgeest
Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Bodegraven
Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
-
E.
Gooi
Gooi is a region in the southeastern part of North Holland in the Netherlands, known for its affluent residential areas, media industry presence, and scenic heathlands.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79f142488190bc6c57b8ff7ef894 |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89a4282ac8190aa641d466763b786 |
completed | March 29, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c89b4795f48190a400f2f278aa203d |
completed | March 29, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89f844f1c8190a5a1458dfda9d88d |
completed | March 29, 2026, 3:41 a.m. |
Created at: March 20, 2026, 1:46 p.m.