Triple
T29353303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Hall |
E744369
|
entity |
| Predicate | isDesignedToAccommodate |
P154879
|
FINISHED |
| Object | highFootTraffic |
—
|
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: highFootTraffic | Statement: [Main Hall, isDesignedToAccommodate, highFootTraffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDesignedToAccommodate Context triple: [Main Hall, isDesignedToAccommodate, highFootTraffic]
-
A.
designedToAccommodate
chosen
Indicates that something has been intentionally created or configured in a way that can suitably hold, support, or serve a particular thing, group, or purpose.
-
B.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
C.
designedToEmbark
Indicates that something is created or configured with the specific purpose of beginning or initiating a journey, process, or undertaking.
-
D.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
-
E.
designedToWithstand
Indicates that something has been intentionally created or engineered to resist, endure, or remain functional under specified conditions, forces, or stresses.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6695d19d48190b710de76e8666504 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:08 p.m.