Triple
T15653399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuji-Q Highland |
E376367
|
entity |
| Predicate | hasThemedArea |
P13439
|
FINISHED |
| Object | Thomas Land |
E1075036
|
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: Thomas Land | Statement: [Fuji-Q Highland, hasThemedArea, Thomas Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Land Context triple: [Fuji-Q Highland, hasThemedArea, Thomas Land]
-
A.
Thomas Land
chosen
Thomas Land is a family-friendly themed area based on the "Thomas & Friends" franchise, featuring character-themed rides and attractions for young children.
-
B.
Bruce Land
Bruce Land is an American electrical engineer and educator known for his influential teaching and microcontroller design work at Cornell University.
-
C.
Brian Farmer
Brian Farmer is a notable individual recognized for achievements significant enough to be distinguished among others sharing the surname Farmer.
-
D.
Ma Kent
Ma Kent is the affectionate nickname for Martha Kent, the adoptive mother of Superman in DC Comics.
-
E.
Ian Meadows
Ian Meadows is an Australian actor and writer known for his work in television, film, and theatre.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.