Triple
T19061910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Greater Geelong |
E466552
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Avalon
Avalon is a locality in Victoria, Australia, best known for its airport and proximity to both Geelong and Melbourne.
|
E1355680
|
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: Avalon | Statement: [City of Greater Geelong, contains, Avalon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalon Context triple: [City of Greater Geelong, contains, Avalon]
-
A.
Avalon
Avalon is the main resort town and only incorporated city on Santa Catalina Island, known for its picturesque harbor, tourism, and Mediterranean-style waterfront.
-
B.
Avalon
Avalon is a residential suburb in the Hutt Valley region near Wellington, New Zealand, known for its housing developments and local amenities.
-
C.
Avalon
Avalon is a master-planned residential community in Sugar Land, Texas, known for its organized layout, amenities, and suburban lifestyle.
-
D.
Avalon
Avalon is a federal electoral district in Newfoundland and Labrador, Canada, represented in the House of Commons.
-
E.
Avalon
"Avalon" is a 1990 American drama film chronicling the experiences and generational conflicts of a Jewish immigrant family in mid-20th-century Baltimore.
- 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: Avalon Triple: [City of Greater Geelong, contains, Avalon]
Generated description
Avalon is a locality in Victoria, Australia, best known for its airport and proximity to both Geelong and Melbourne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avalon Target entity description: Avalon is a locality in Victoria, Australia, best known for its airport and proximity to both Geelong and Melbourne.
-
A.
Avalon
Avalon is a residential suburb in the Hutt Valley region near Wellington, New Zealand, known for its housing developments and local amenities.
-
B.
Avalon
Avalon is a popular seaside resort town on the Jersey Shore in New Jersey, known for its beaches, vacation homes, and family-friendly atmosphere.
-
C.
Avalon
Avalon is a master-planned residential community in Sugar Land, Texas, known for its organized layout, amenities, and suburban lifestyle.
-
D.
Avalon
Avalon is the main resort town and only incorporated city on Santa Catalina Island, known for its picturesque harbor, tourism, and Mediterranean-style waterfront.
-
E.
Avalon
Avalon is a contemporary mixed-use development that combines residential, retail, dining, and entertainment spaces in a walkable, urban-style environment.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e194c854819085a0a48d22c5cebd |
completed | April 20, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c55dec9881908d56c270e538463d |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c66f7efc8190859bf4ca53012d1d |
completed | May 14, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c6f11fd88190be6fd8c235e3d269 |
completed | May 14, 2026, 12:58 p.m. |
Created at: April 10, 2026, 12:03 p.m.