Triple
T22792454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semeru hiking trail |
E564147
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Ranu Pani |
—
|
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 Pani | Statement: [Semeru hiking trail, connects, Ranu Pani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranu Pani Context triple: [Semeru hiking trail, connects, Ranu Pani]
-
A.
Ranu Pani
chosen
Ranu Pani is a small mountain village in East Java, Indonesia, known as a gateway settlement for hikers trekking to Mount Semeru (Mahameru) in Bromo Tengger Semeru National Park.
-
B.
Kala Pani
Kala Pani is the infamous British-era colonial prison in the Andaman and Nicobar Islands, known for its harsh conditions and use to exile Indian freedom fighters.
-
C.
Kala Pani
Kala Pani is a 1958 Hindi-language crime thriller film directed by Raj Khosla, starring Dev Anand and Madhubala, renowned for its gripping storyline and performances.
-
D.
Aquata
Aquata is one of King Triton’s mermaid daughters and a princess of Atlantica in Disney’s The Little Mermaid franchise.
-
E.
Ranna
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
- 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.