Triple
T15544056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tathra |
E370556
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Tathra Beach |
—
|
NE ONDG |
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: Tathra Beach | Statement: [Tathra, hasBeach, Tathra Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tathra Beach Context triple: [Tathra, hasBeach, Tathra Beach]
-
A.
Teewah Beach
Teewah Beach is a long, remote stretch of sandy coastline in Queensland, Australia, popular for four-wheel driving, camping, and surf fishing.
-
B.
Terrigal Beach
Terrigal Beach is a popular surf and holiday destination on New South Wales’ Central Coast, known for its sweeping sandy shoreline, coastal promenade, and nearby cafes and restaurants.
-
C.
Wategos Beach
Wategos Beach is a sheltered, picturesque surf beach near Cape Byron in New South Wales, Australia, known for its clear waters, scenic headland views, and relaxed atmosphere.
-
D.
Towradgi Beach
Towradgi Beach is a popular coastal beach in the Wollongong region of New South Wales, Australia, known for its surf, rock pool, and family-friendly foreshore.
-
E.
Aruana Beach
Aruana Beach is a popular coastal stretch in Aracaju, Brazil, known for its wide sandy shore, warm waters, and relaxed seaside atmosphere.
- 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: Tathra Beach Triple: [Tathra, hasBeach, Tathra Beach]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tathra Beach Target entity description: Tathra Beach is a popular coastal beach on the Sapphire Coast of New South Wales, Australia, known for its scenic shoreline, surf, and family-friendly atmosphere.
-
A.
Teewah Beach
Teewah Beach is a long, remote stretch of sandy coastline in Queensland, Australia, popular for four-wheel driving, camping, and surf fishing.
-
B.
Terrigal Beach
Terrigal Beach is a popular surf and holiday destination on New South Wales’ Central Coast, known for its sweeping sandy shoreline, coastal promenade, and nearby cafes and restaurants.
-
C.
Wategos Beach
Wategos Beach is a sheltered, picturesque surf beach near Cape Byron in New South Wales, Australia, known for its clear waters, scenic headland views, and relaxed atmosphere.
-
D.
Towradgi Beach
Towradgi Beach is a popular coastal beach in the Wollongong region of New South Wales, Australia, known for its surf, rock pool, and family-friendly foreshore.
-
E.
Aruana Beach
Aruana Beach is a popular coastal stretch in Aracaju, Brazil, known for its wide sandy shore, warm waters, and relaxed seaside atmosphere.
- F. None of above. chosen
Provenance (4 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0443410408190a249889edcd9c599 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01963971248190b5e2b0b77eb7cbfe |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 4:07 a.m.