Triple
T3502058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taipei 101 |
E73991
|
entity |
| Predicate | elevatorTopSpeed_km_per_h |
P2096
|
FINISHED |
| Object | 60.6 |
—
|
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: 60.6 | Statement: [Taipei 101, elevatorTopSpeed_km_per_h, 60.6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevatorTopSpeed_km_per_h Context triple: [Taipei 101, elevatorTopSpeed_km_per_h, 60.6]
-
A.
hasHighSpeedElevators
Indicates that a building or structure is equipped with elevators capable of operating at high speeds.
-
B.
hasElevators
Indicates that one entity is equipped with or contains one or more elevators for vertical transportation.
-
C.
numberOfElevators
Indicates the total count of elevators associated with a given entity or location.
-
D.
maxSpeed
chosen
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
E.
hasEscalators
Indicates that one entity is equipped with or contains escalators that can be used for movement between different levels or areas.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbef47988190b5b3fe2e452b9ac8 |
completed | March 8, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.