Triple
T10730608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Myung-bak |
E253061
|
entity |
| Predicate | termStartAsMayorOfSeoul |
P17454
|
FINISHED |
| Object | 2002-07-01 |
—
|
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: 2002-07-01 | Statement: [Lee Myung-bak, termStartAsMayorOfSeoul, 2002-07-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsMayorOfSeoul Context triple: [Lee Myung-bak, termStartAsMayorOfSeoul, 2002-07-01]
-
A.
mayoralTermStart
chosen
Indicates the date or point in time when an individual's tenure as mayor officially begins.
-
B.
startTimeAsBishopOfDaejeon
Indicates the date and time at which an individual began serving as the Bishop of Daejeon.
-
C.
startTime (Mayor of Taipei)
Indicates the specific point in time when a person begins serving as Mayor of Taipei.
-
D.
termStartAsGovernor
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
E.
startTime as Governor-General of Korea
Indicates the point in time at which an individual began serving in the role of Governor-General of Korea.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fcb1cd881909635def59ad5d19c |
completed | April 9, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.