Triple
T21137427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newa |
E520848
|
entity |
| Predicate | script |
P505
|
FINISHED |
| Object | Newa script |
—
|
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: Newa script | Statement: [Newa, script, Newa script]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newa script Context triple: [Newa, script, Newa script]
-
A.
Newa script
chosen
Newa script is an abugida historically used by the Newar people of Nepal to write the Nepal Bhasa language and Sanskrit, notable for its role in the region’s literary and cultural heritage.
-
B.
Madnhaya script
The Madnhaya script is a modern cursive form of the Syriac alphabet used primarily by Assyrian and Chaldean Christian communities in liturgical and literary contexts.
-
C.
Tirhuta script
Tirhuta script is a traditional Brahmic writing system historically used for the Maithili language of the Mithila region in India and Nepal.
-
D.
Tai Nüa script
The Tai Nüa script is an abugida used primarily by the Tai Nüa (Dai) people of China and Southeast Asia to write the Tai Nüa language.
-
E.
Khojki script
The Khojki script is a historical writing system used primarily by the Nizari Ismaili community of South Asia to record religious and literary texts in languages such as Sindhi and Gujarati.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235b89188190a6209c0a1839ee03 |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.