Triple
T2909579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylon Tower |
E63648
|
entity |
| Predicate | elevatorType |
P1984
|
FINISHED |
| Object | exterior glass elevator |
—
|
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: exterior glass elevator | Statement: [Skylon Tower, elevatorType, exterior glass elevator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevatorType Context triple: [Skylon Tower, elevatorType, exterior glass elevator]
-
A.
hasElevators
Indicates that one entity is equipped with or contains one or more elevators for vertical transportation.
-
B.
numberOfElevators
Indicates the total count of elevators associated with a given entity or location.
-
C.
hasLiftType
chosen
Indicates the specific type or category of lift associated with an entity.
-
D.
hasEscalators
Indicates that one entity is equipped with or contains escalators that can be used for movement between different levels or areas.
-
E.
towerType
Indicates the specific kind or classification of a tower that an entity is associated with or represents.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d329c88190b6fcaef0be1799eb |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.