Triple
T7365725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Wodonga |
E169863
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Eurobin
Eurobin is a small rural locality in northeastern Victoria, Australia, situated in the Alpine region between Myrtleford and Bright.
|
E658127
|
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: Eurobin | Statement: [City of Wodonga, hasSuburb, Eurobin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eurobin Context triple: [City of Wodonga, hasSuburb, Eurobin]
-
A.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
B.
Lippisch
Lippisch is a German surname most notably associated with Alexander Lippisch, a pioneering aeronautical engineer known for his work on delta-wing aircraft designs.
-
C.
Autavia
Autavia is a line of high-performance sports chronographs and watches by TAG Heuer, originally designed for automotive and aviation use.
-
D.
Canair
Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
-
E.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
- 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: Eurobin Triple: [City of Wodonga, hasSuburb, Eurobin]
Generated description
Eurobin is a small rural locality in northeastern Victoria, Australia, situated in the Alpine region between Myrtleford and Bright.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eurobin Target entity description: Eurobin is a small rural locality in northeastern Victoria, Australia, situated in the Alpine region between Myrtleford and Bright.
-
A.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
B.
Lippisch
Lippisch is a German surname most notably associated with Alexander Lippisch, a pioneering aeronautical engineer known for his work on delta-wing aircraft designs.
-
C.
Autavia
Autavia is a line of high-performance sports chronographs and watches by TAG Heuer, originally designed for automotive and aviation use.
-
D.
Canair
Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
-
E.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f163038481909dedbffb4ae7f860 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab9820c8190aa8b519a0852af6e |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fbffbc7881909a5b4e877a735848 |
completed | March 28, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb75c548190860e5488625f2f02 |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:06 p.m.