Triple
T26096543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cia-Cia |
E658283
|
entity |
| Predicate | hangulProjectStatus |
P160716
|
FINISHED |
| Object | largely discontinued |
—
|
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: largely discontinued | Statement: [Cia-Cia, hangulProjectStatus, largely discontinued]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hangulProjectStatus Context triple: [Cia-Cia, hangulProjectStatus, largely discontinued]
-
A.
hangulProjectCountry
Indicates that a country is associated with or involved in a Hangul-related project.
-
B.
hasHangulName
Indicates that an entity is associated with a name written in the Korean Hangul script.
-
C.
hangulNameRomanized
Indicates that an entity’s Korean Hangul name is represented in its romanized (Latin alphabet) form.
-
D.
programmingStatus
Indicates the current state or phase of progress in carrying out a programming-related task or activity.
-
E.
koreanReadingHangul
Indicates that an entity’s Korean reading is represented in Hangul script.
- F. None of above. chosen
Provenance (4 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6073720748190aecfc9af3ba039fd |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 26, 2026, 7:51 p.m.