Triple
T22792455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semeru hiking trail |
E564147
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Ranu Kumbolo |
—
|
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: Ranu Kumbolo | Statement: [Semeru hiking trail, connects, Ranu Kumbolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranu Kumbolo Context triple: [Semeru hiking trail, connects, Ranu Kumbolo]
-
A.
Ranu Kumbolo
chosen
Ranu Kumbolo is a scenic high-altitude lake in East Java, Indonesia, popular as a rest and camping spot for hikers on the route to Mount Semeru.
-
B.
Ranu Pakis
Ranu Pakis is a volcanic crater lake in East Java, Indonesia, known for its scenic setting near Mount Lamongan.
-
C.
Tika Kunama
Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
-
D.
Ranu Klakah
Ranu Klakah is a volcanic crater lake in East Java, Indonesia, known for its scenic setting at the foot of Mount Lamongan.
-
E.
Kirina Mano
Kirina Mano is a Japanese actress best known internationally for her role in Peter Greenaway’s film "8½ Women."
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd5778c81909a18317ff98e341c |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.