Triple
T14301597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pentecost Island |
E354576
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Raga |
E153879
|
NE 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: Raga | Statement: [Pentecost Island, hasLanguage, Raga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raga Context triple: [Pentecost Island, hasLanguage, Raga]
-
A.
Raga
chosen
Raga is an Oceanic language spoken on Pentecost Island in Vanuatu, known for its rich oral traditions and complex verb morphology.
-
B.
Raga Mala
Raga Mala is the autobiography of sitar maestro Ravi Shankar, chronicling his life, musical journey, and influence on Indian classical and global music.
-
C.
Raga Malkauns
Raga Malkauns is a deeply meditative and nocturnal Hindustani classical raga known for its pentatonic scale and serene, introspective mood.
-
D.
Raga Bhimpalasi
Raga Bhimpalasi is a popular afternoon raga in Hindustani classical music, known for its soulful, devotional mood and use of the Kafi thaat scale.
-
E.
Raga Bageshri
Raga Bageshri is a prominent late-evening Hindustani classical raga known for its romantic, introspective mood and graceful melodic contours.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2883e081909c53170ef30b4125 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.