Triple
T6846851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daedeok Science Town |
E157916
|
entity |
| Predicate | establishedAsScienceTown |
P54790
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Daedeok Science Town, establishedAsScienceTown, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsScienceTown Context triple: [Daedeok Science Town, establishedAsScienceTown, 1970s]
-
A.
isScienceCity
chosen
Indicates that a city is recognized or designated as a center for scientific research, education, or technological innovation.
-
B.
scientificDisciplineEstablished
Indicates that a particular scientific discipline has been formally founded or recognized as an established field of study.
-
C.
hasScienceCenter
Indicates that an entity possesses, hosts, or includes a science center as one of its facilities or components.
-
D.
isScientificCenterFor
Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
-
E.
eraOfScience
Indicates that one entity is a historical period characterized by particular developments or features in science associated with the other entity.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cd0e64819097c9c211df8bce54 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.