Triple
T23259287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seocho-gu Office |
E581959
|
entity |
| Predicate | servesAdministrativeDistrict |
P145445
|
FINISHED |
| Object | Seocho-gu |
—
|
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: Seocho-gu | Statement: [Seocho-gu Office, servesAdministrativeDistrict, Seocho-gu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAdministrativeDistrict Context triple: [Seocho-gu Office, servesAdministrativeDistrict, Seocho-gu]
-
A.
administrativeDistrictOf
Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
-
B.
administrativeDistricts
Indicates that one entity serves as an administrative district or subdivision governed or managed by another entity.
-
C.
administrativeCouncilArea
Indicates that one entity is an administrative council area within which the other entity is located or governed.
-
D.
servesGovernmentDistrict
Indicates that an entity provides official services or representation to a specific government district.
-
E.
servesAsMunicipalAuthorityFor
chosen
Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c7ec148190b01fd215a0c1daa1 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.