Triple
T11260569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission Bay Park |
E266549
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ski Beach |
E909345
|
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: Ski Beach | Statement: [Mission Bay Park, hasPart, Ski Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ski Beach Context triple: [Mission Bay Park, hasPart, Ski Beach]
-
A.
Ski Beach
chosen
Ski Beach is a popular waterfront recreation area in San Diego’s Mission Bay known for picnicking, boating, and water sports.
-
B.
Gunyangara (Ski Beach)
Gunyangara (Ski Beach) is a small Yolŋu Aboriginal community and coastal settlement in East Arnhem Land in Australia's Northern Territory, known for its strong Indigenous culture and scenic beaches.
-
C.
Dombay ski resort
Dombay ski resort is a popular mountain skiing and snowboarding destination in Russia’s North Caucasus, known for its scenic alpine landscapes and varied slopes.
-
D.
Seli Ski Resort
Seli Ski Resort is one of Greece’s oldest and most popular alpine ski centers, located on the slopes of Mount Vermio in northern Greece.
-
E.
Ski Station
Ski Station is a railway station in Ski, Norway, serving as a key transport hub for local and regional train services.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e936cb048190b4d6fb2851ef8932 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccada158819080e49833e09f84a0 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.