Triple
T7793006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pärnu |
E180225
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Ocean City |
E25032
|
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: Ocean City | Statement: [Pärnu, hasTwinTown, Ocean City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean City Context triple: [Pärnu, hasTwinTown, Ocean City]
-
A.
Ocean City, Maryland
chosen
Ocean City, Maryland is a popular Atlantic coastal resort town known for its long sandy beaches, lively boardwalk, and tourism-driven economy.
-
B.
Ocean City, New Jersey
Ocean City, New Jersey is a popular family-oriented seaside resort town on the Jersey Shore, known for its beaches, boardwalk, and status as a dry (alcohol-free) vacation destination.
-
C.
Rehoboth Bay
Rehoboth Bay is a shallow coastal lagoon in southern Delaware known for its recreational boating, fishing, and proximity to popular beach communities.
-
D.
Rehoboth Beach, Delaware
Rehoboth Beach, Delaware is a popular Atlantic coastal resort town known for its boardwalk, beaches, and family-friendly vacation atmosphere.
-
E.
Verona Beach
Verona Beach is the modern, stylized coastal city that serves as the backdrop for Baz Luhrmann’s 1996 film adaptation of Shakespeare’s "Romeo + Juliet."
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae938714c8190b89917e6ded004da |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13dbe1f88190bde2c5c76dcfeb8f |
completed | March 31, 2026, 12:22 a.m. |
Created at: March 30, 2026, 4:31 p.m.