Triple
T27264946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jung-gu |
E687873
|
entity |
| Predicate | usedInCountryAdministrativeContext |
P8773
|
FINISHED |
| Object | metropolitan city government |
—
|
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: metropolitan city government | Statement: [Jung-gu, usedInCountryAdministrativeContext, metropolitan city government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCountryAdministrativeContext Context triple: [Jung-gu, usedInCountryAdministrativeContext, metropolitan city government]
-
A.
usedInCountryOrRegion
Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
-
B.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
C.
appliesToAdministrativeTerritory
chosen
Indicates that something (such as a rule, measure, or status) is valid for, relevant to, or in force within a specific administrative territory.
-
D.
usedInConstituentCountry
Indicates that something is utilized or applied within a specific constituent country of a larger sovereign state.
-
E.
usedForCountry
Indicates that something is used for, or serves a purpose related to, a specific country.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 27, 2026, 10:55 a.m.