Triple
T22546673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tip |
E557446
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | General Jinjur |
—
|
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: General Jinjur | Statement: [Tip, associatedWith, General Jinjur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Jinjur Context triple: [Tip, associatedWith, General Jinjur]
-
A.
General Jinjur
chosen
General Jinjur is a comic, would-be revolutionary leader in L. Frank Baum’s Oz series, best known for leading an all-girl army in an attempted takeover of the Emerald City.
-
B.
Gwangalli
Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
-
C.
Jinjuseong
Jinjuseong is a historic fortress in Jinju, South Korea, renowned for its role in the Imjin War and its well-preserved traditional architecture.
-
D.
Gongjin
Gongjin is the courtesy name of Zhou Yu, a renowned Eastern Han dynasty military general and strategist best known for his role in the Battle of Red Cliffs.
-
E.
Cheorwon
Cheorwon is a county in South Korea’s Gangwon Province, known for its location along the heavily fortified Demilitarized Zone and its significant Korean War battlefields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.