Triple
T23428479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sajik-dong |
E563258
|
entity |
| Predicate | nearbyGovernmentDistrict |
P72400
|
FINISHED |
| Object | central government complex area of Seoul |
—
|
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: central government complex area of Seoul | Statement: [Sajik-dong, nearbyGovernmentDistrict, central government complex area of Seoul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyGovernmentDistrict Context triple: [Sajik-dong, nearbyGovernmentDistrict, central government complex area of Seoul]
-
A.
locatedNearGovernmentDistrict
chosen
Indicates that one entity is situated close to or in the immediate vicinity of a government district.
-
B.
governmentDistrict
Indicates that a government entity has jurisdiction over or is administratively associated with a specific district.
-
C.
governmentalDistrictOf
Indicates that a governmental district is the administrative district to which a given entity belongs or in which it is located.
-
D.
nearbyGovernorate
Indicates that one governorate is geographically close to or adjacent to another governorate.
-
E.
nearestDistrictHeadquarters
Indicates that one location is the closest district headquarters to another specified place.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a54ba29881909945690496f28d65 |
completed | April 29, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:48 p.m.