Triple
T7598789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalanche (Blackpool Pleasure Beach) |
E179926
|
entity |
| Predicate | liftHillCount |
P78079
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Avalanche (Blackpool Pleasure Beach), liftHillCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liftHillCount Context triple: [Avalanche (Blackpool Pleasure Beach), liftHillCount, 1]
-
A.
hasApproximateNumberOfHills
Indicates that an entity is associated with an estimated or imprecise count of hills rather than an exact number.
-
B.
hasHillSize
Indicates that something possesses or is characterized by a particular hill size.
-
C.
containsHill
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
-
D.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
E.
numberOfMountains
Indicates the quantitative count of mountains associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d67cf88190a3202c07f7cea7df |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:53 p.m.