Triple
T5814838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waiheke Island |
E128958
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Palm Beach |
E556317
|
NE FINISHED |
How this triple was built (2 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: Palm Beach | Statement: [Waiheke Island, hasBeach, Palm Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palm Beach Context triple: [Waiheke Island, hasBeach, Palm Beach]
-
A.
Palm Beach
chosen
Palm Beach is a small coastal settlement and popular beach area on Waiheke Island in New Zealand, known for its scenic shoreline and holiday homes.
-
B.
Palm Beach
Palm Beach is a coastal suburb and popular swimming and surfing beach in Rockingham, Western Australia.
-
C.
Palm Beach
Palm Beach is a wealthy resort town in South Florida known for its upscale estates, luxury shopping, and exclusive beaches.
-
D.
West Palm Beach
West Palm Beach is a coastal city in South Florida known for its waterfront downtown, cultural attractions, and role as a major urban center in Palm Beach County.
-
E.
Fort Lauderdale
Fort Lauderdale is a coastal city in South Florida known for its boating canals, beaches, and role as a regional tourism and cultural hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03361c79081908baf872821e79983 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e35ad1a081908c908b6eef12d855 |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:53 p.m.