Triple
T15524487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Flags Over Georgia |
E369047
|
entity |
| Predicate | hasWaterRide |
P35621
|
FINISHED |
| Object | Log Jamboree |
E1092920
|
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: Log Jamboree | Statement: [Six Flags Over Georgia, hasWaterRide, Log Jamboree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Log Jamboree Context triple: [Six Flags Over Georgia, hasWaterRide, Log Jamboree]
-
A.
Logierait
Logierait is a small village in Perth and Kinross, Scotland, known as the birthplace of the philosopher and historian Adam Ferguson.
-
B.
Logres
Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
-
C.
LOG
LOG is the ICAO airline designator assigned to Loganair, a regional airline based in Scotland.
-
D.
JOG
JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
-
E.
Log Flume
chosen
Log Flume is a classic water ride featuring log-shaped boats that travel along a flume with gentle floats and thrilling splashdown drops.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5706948190a1c0f466f7ef8857 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:05 a.m.