Triple
T38132158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i360 observation tower |
E952251
|
entity |
| Predicate | elevationExperience |
P191744
|
FINISHED |
| Object | slow ascent and descent |
—
|
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: slow ascent and descent | Statement: [i360 observation tower, elevationExperience, slow ascent and descent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationExperience Context triple: [i360 observation tower, elevationExperience, slow ascent and descent]
-
A.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
B.
isHighElevation
Indicates that an entity is located at or associated with a relatively high altitude or elevation above a reference level, typically sea level.
-
C.
elevationPurpose
Indicates the reason or intended function for which something is elevated or raised to a higher level.
-
D.
elevationContext
Indicates the contextual relationship between an entity and its elevation or vertical position relative to a reference point or environment.
-
E.
elevationPreference
Indicates a tendency or preference for a certain elevation or altitude relative to other possible elevation levels.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:21 p.m.