Triple
T4878159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itaewon |
E109253
|
entity |
| Predicate | safetyChangesAfter |
P59000
|
FINISHED |
| Object | 2022 crowd crush disaster |
—
|
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: 2022 crowd crush disaster | Statement: [Itaewon, safetyChangesAfter, 2022 crowd crush disaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyChangesAfter Context triple: [Itaewon, safetyChangesAfter, 2022 crowd crush disaster]
-
A.
safetyChangesImplemented
Indicates that specific safety-related modifications or measures have been put into effect.
-
B.
securityChangesAfter
Indicates that the security status or configuration of one entity is modified as a consequence of a prior event or change in another entity.
-
C.
safetyRelevant
Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
-
D.
safety
Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
-
E.
safetyRegulationsUpdatedAfter
chosen
Indicates that one set of safety regulations was revised or brought into effect at a later time than another set of safety regulations.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dbd69d48190a8397d67af8f5fc8 |
completed | March 20, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2be5e881909f6ec9c3bcde49f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.