Triple
T14467162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King John’s Castle |
E358743
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | King’s Island |
E355935
|
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: King’s Island | Statement: [King John’s Castle, locatedIn, King’s Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King’s Island Context triple: [King John’s Castle, locatedIn, King’s Island]
-
A.
King's Island
chosen
King's Island is the historic core of Limerick city, Ireland, known for landmarks like King John’s Castle and its medieval streetscape.
-
B.
Kings Island
Kings Island is a large amusement and theme park in Mason, Ohio, known for its roller coasters and family attractions.
-
C.
Kings Dominion
Kings Dominion is a large amusement and theme park in Doswell, Virginia, known for its roller coasters and family attractions.
-
D.
Phantasialand
Phantasialand is a major German theme park known for its highly themed lands and innovative roller coasters and attractions.
-
E.
Knott's Berry Farm
Knott's Berry Farm is a historic theme park in Southern California known for its roller coasters, family attractions, and origins as a berry farm and roadside restaurant.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f8613c819080424104c0b7f4c3 |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6499c7188190a79411b471cfa7d4 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.