Triple
T27328025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daegu Metro Line 1 |
E689712
|
entity |
| Predicate | safetyReformsAfter |
P44089
|
FINISHED |
| Object | 2003 Daegu subway fire |
—
|
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: 2003 Daegu subway fire | Statement: [Daegu Metro Line 1, safetyReformsAfter, 2003 Daegu subway fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyReformsAfter Context triple: [Daegu Metro Line 1, safetyReformsAfter, 2003 Daegu subway fire]
-
A.
safetyChangesImplemented
Indicates that specific safety-related modifications or measures have been put into effect.
-
B.
safetyRegulationChange
Indicates a modification, update, or revision to existing safety regulations governing how something must be designed, operated, or managed.
-
C.
safetyRecordChangedAfter
Indicates that an entity’s safety record was modified following a specified event, time, or condition.
-
D.
implementedReformsIn
chosen
Indicates that an entity (typically a person, organization, or government) carried out or put into effect specific reforms within a particular context, domain, or location.
-
E.
relatedReforms
Indicates that one reform is connected or associated with another reform, typically through shared goals, content, or impact.
- 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:36 a.m.