Triple
T599884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wollongong |
E11468
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object |
City Beach
City Beach is a popular patrolled surf beach located near the central business district of Wollongong, New South Wales, Australia.
|
E74729
|
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: City Beach | Statement: [Wollongong, hasBeach, City Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Beach Context triple: [Wollongong, hasBeach, City Beach]
-
A.
West Beach
West Beach is a popular sandy shoreline in Santa Barbara, California, known for its harbor views, waterfront promenade, and easy access to downtown attractions.
-
B.
Bar Beach
Bar Beach is a popular coastal surf beach and suburb located just southwest of central Newcastle in New South Wales, Australia.
-
C.
East Beach
East Beach is a popular sandy shoreline in Santa Barbara, California, known for its volleyball courts, palm-lined bike paths, and scenic views of the Pacific Ocean.
-
D.
Kiva Beach
Kiva Beach is a scenic, dog-friendly shoreline on the south shore of Lake Tahoe known for its sandy beach, mountain views, and relatively uncrowded, natural setting.
-
E.
Beaches
Beaches is a 1988 American drama film starring Bette Midler that follows the lifelong friendship between two very different women.
- 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: City Beach Triple: [Wollongong, hasBeach, City Beach]
Generated description
City Beach is a popular patrolled surf beach located near the central business district of Wollongong, New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City Beach Target entity description: City Beach is a popular patrolled surf beach located near the central business district of Wollongong, New South Wales, Australia.
-
A.
West Beach
West Beach is a popular sandy shoreline in Santa Barbara, California, known for its harbor views, waterfront promenade, and easy access to downtown attractions.
-
B.
Bar Beach
Bar Beach is a popular coastal surf beach and suburb located just southwest of central Newcastle in New South Wales, Australia.
-
C.
East Beach
East Beach is a popular sandy shoreline in Santa Barbara, California, known for its volleyball courts, palm-lined bike paths, and scenic views of the Pacific Ocean.
-
D.
Kiva Beach
Kiva Beach is a scenic, dog-friendly shoreline on the south shore of Lake Tahoe known for its sandy beach, mountain views, and relatively uncrowded, natural setting.
-
E.
Beaches
Beaches is a 1988 American drama film starring Bette Midler that follows the lifelong friendship between two very different women.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d78c0f08190b83ad89062ccb0b9 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51f37f8748190bff705fd2bbc489c |
completed | March 2, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69a51fd2fe2881909a2cddf344149eeb |
completed | March 2, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a52036174c81909a1e2aabad8fdad1 |
completed | March 2, 2026, 5:29 a.m. |
Created at: March 1, 2026, 7:35 p.m.