Triple
T38132912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flume (Alton Towers) |
E952269
|
entity |
| Predicate | hadLayout |
P10827
|
FINISHED |
| Object | lift hills and drops |
—
|
LITERAL 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: lift hills and drops | Statement: [The Flume (Alton Towers), hadLayout, lift hills and drops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadLayout Context triple: [The Flume (Alton Towers), hadLayout, lift hills and drops]
-
A.
hasLayout
chosen
Indicates that one entity defines or is associated with the structural arrangement or organization (layout) of another entity.
-
B.
wasLaidOutIn
Indicates that something was arranged, designed, or planned within a particular time period or event.
-
C.
laidOutBy
Indicates that one entity has been arranged, organized, or presented in a particular layout or structure by another entity.
-
D.
laidOutAs
Indicates that one entity is arranged, organized, or presented in the form, structure, or configuration of another entity.
-
E.
basedOnLayout
Indicates that one entity is derived from, structured according to, or determined by the layout or spatial arrangement defined by another entity.
- F. None of above.
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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.