Triple
T23442503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Fischoeder |
E565440
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Wonder Wharf |
—
|
NE NERFINISHED |
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: Wonder Wharf | Statement: [Mr. Fischoeder, owns, Wonder Wharf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wonder Wharf Context triple: [Mr. Fischoeder, owns, Wonder Wharf]
-
A.
Wonder Wharf
chosen
Wonder Wharf is the dilapidated seaside amusement park and boardwalk in the animated series Bob’s Burgers, serving as a central backdrop for many of the Belcher family’s adventures.
-
B.
Aquarium Wharf
Aquarium Wharf is a waterfront area in Sydney, Australia, known for hosting major attractions such as WILD LIFE Sydney Zoo and SEA LIFE Sydney Aquarium.
-
C.
Battery Wharf
Battery Wharf is a mixed-use waterfront complex in Boston’s North End featuring a luxury hotel, residences, and a harborwalk along Boston Harbor.
-
D.
Parola Wharf
Parola Wharf is a small passenger and cargo pier in Iloilo City, Philippines, serving as a key jump-off point for short sea crossings across the Iloilo Strait.
-
E.
Town Pier
Town Pier is a historic riverside pier in Gravesend, England, serving as a local landmark and passenger landing stage on the River Thames.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.