Triple
T32120194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BASE jumping |
E820347
|
entity |
| Predicate | isOftenProhibitedAt |
P174975
|
FINISHED |
| Object | urban buildings |
—
|
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: urban buildings | Statement: [BASE jumping, isOftenProhibitedAt, urban buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenProhibitedAt Context triple: [BASE jumping, isOftenProhibitedAt, urban buildings]
-
A.
isProhibitedFor
Indicates that a certain action, object, or condition is not allowed or is forbidden for a specified entity or group.
-
B.
prohibits
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
C.
bannedInCountry
Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
-
D.
isBarred
Indicates that an entity is officially prohibited or excluded from participating in, entering, or accessing another entity or activity.
-
E.
hadRestrictionsOn
Indicates that one entity imposed or was subject to specific limitations, rules, or constraints regarding another entity or activity.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 12:28 a.m.