Triple
T23045659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 류경호텔 |
E573869
|
entity |
| Predicate | statusAsOf2010s |
P41825
|
FINISHED |
| Object | 외관 완성, 내부 미완공 추정 |
—
|
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: 외관 완성, 내부 미완공 추정 | Statement: [류경호텔, statusAsOf2010s, 외관 완성, 내부 미완공 추정]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAsOf2010s Context triple: [류경호텔, statusAsOf2010s, 외관 완성, 내부 미완공 추정]
-
A.
statusAfter2010
Indicates the condition or state of an entity specifically in the period after the year 2010.
-
B.
statusBefore2010s
Indicates that the status or condition of an entity is evaluated or defined as it was prior to the 2010s.
-
C.
statusAsOf21stCentury
chosen
Indicates that the status or condition of an entity is evaluated or defined specifically as it stands in the 21st century.
-
D.
representedIn2010sBy
Indicates that one entity served as the representative, depiction, or embodiment of another entity specifically during the 2010s decade.
-
E.
statusAfter1970
Indicates the status or condition of an entity as it exists after the year 1970.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185192754819093a87d23371e7bbc |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:54 p.m.