Triple
T5876493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raman |
E130637
|
entity |
| Predicate | isRomanizationOf |
P2508
|
FINISHED |
| Object | Raman (Devanagari: रमन) |
E130637
|
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: Raman (Devanagari: रमन) | Statement: [Raman, isRomanizationOf, Raman (Devanagari: रमन)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raman (Devanagari: रमन) Context triple: [Raman, isRomanizationOf, Raman (Devanagari: रमन)]
-
A.
Raman
chosen
Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
-
B.
Rama dama
Rama dama is a German drama film directed by Joseph Vilsmaier that portrays the hardships and rebuilding efforts in post-World War II Munich.
-
C.
Namanve
Namanve is an industrial and commercial area in central Uganda known for hosting the Kampala Industrial and Business Park and various manufacturing facilities.
-
D.
Naman
Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
-
E.
Kannada Rajya Rama Ramana
Kannada Rajya Rama Ramana is an honorific epithet celebrating Sri Krishnadevaraya as a revered and ideal ruler of the Kannada-speaking kingdom.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0362fb6948190bdbb3f1d446d070c |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12242dc819093ccd41c9705dd72 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:57 p.m.