Triple
T12348729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Oahu |
E294427
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ewa Beach |
E294432
|
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: Ewa Beach | Statement: [Western Oahu, contains, Ewa Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewa Beach Context triple: [Western Oahu, contains, Ewa Beach]
-
A.
Ewa Beach
chosen
Ewa Beach is a coastal residential community on the leeward side of Oʻahu in Hawaii, known for its beaches, golf courses, and suburban neighborhoods.
-
B.
Gdynia Orłowo Beach
Gdynia Orłowo Beach is a scenic sandy shoreline in the Orłowo district of Gdynia, Poland, known for its wooden pier, dramatic cliff views, and picturesque setting on the Baltic coast.
-
C.
Kania Beach
Kania Beach is a small, tranquil seaside spot on the Greek island of Chalki, known for its clear waters and relaxed atmosphere.
-
D.
Dueodde Beach
Dueodde Beach is a famous sandy beach on the southern tip of the Danish island of Bornholm, known for its ultra-fine white sand and clear, shallow waters.
-
E.
Juhu Beach
Juhu Beach is a popular and expansive seaside destination in Mumbai, India, known for its lively atmosphere, street food stalls, and views of the Arabian Sea.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.