Triple
T13897081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland Parish |
E334116
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | San San Beach |
E334834
|
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: San San Beach | Statement: [Portland Parish, contains, San San Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San San Beach Context triple: [Portland Parish, contains, San San Beach]
-
A.
San San Beach
chosen
San San Beach is a picturesque white-sand beach and popular swimming spot on Jamaica’s northeastern coast, known for its calm turquoise waters and nearby islets.
-
B.
Kota Beach
Kota Beach is a popular white-sand beach on Bantayan Island in the Philippines, known for its clear turquoise waters and relaxed island atmosphere.
-
C.
Mandalay Beach
Mandalay Beach is a large, resort-style pool complex at Mandalay Bay in Las Vegas, featuring a wave pool, lazy river, and sandy beach environment.
-
D.
Miramar Beach
Miramar Beach is a popular Gulf Coast community in Florida known for its white-sand beaches, emerald-green waters, and resort-style vacation atmosphere.
-
E.
Miramar Beach
Miramar Beach is a popular urban beach in Panaji, Goa, known for its scenic Arabian Sea views and proximity to the city center.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d72c6c819093bf9c43136839d4 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac8401b88190a2e87dbdf1bbaee2 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:15 p.m.