Triple
T27754069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Dae-jung |
E701290
|
entity |
| Predicate | locatedInTheAdministrativeTerritorialEntityOfBirth |
P1
|
FINISHED |
| Object | Sinan County |
—
|
NE NERFINISHED |
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: Sinan County | Statement: [Kim Dae-jung, locatedInTheAdministrativeTerritorialEntityOfBirth, Sinan County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTheAdministrativeTerritorialEntityOfBirth Context triple: [Kim Dae-jung, locatedInTheAdministrativeTerritorialEntityOfBirth, Sinan County]
-
A.
allegedBirthRegion
Indicates the region where an entity is claimed or reported to have been born, without asserting that this birthplace is verified as fact.
-
B.
placeOfBirth
chosen
Indicates the location where a person or other entity was born.
-
C.
namedAfterBirthPlace
Indicates that an entity is given a name derived from or based on the place where it was born.
-
D.
placeOfBirthEventCoincidesWith
Indicates that the event of an entity’s birth occurs at the same time and/or place as another specified event.
-
E.
presentDayLocationOfBirthplace
Indicates the current geographic location corresponding to the place where an entity was born.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: April 27, 2026, 4:22 p.m.