Triple
T115256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punjab |
E2323
|
entity |
| Predicate | scriptUsed |
P2367
|
FINISHED |
| Object | Shahmukhi |
E4744
|
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: Shahmukhi | Statement: [Punjab, scriptUsed, Shahmukhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahmukhi Context triple: [Punjab, scriptUsed, Shahmukhi]
-
A.
Gurmukhi
Gurmukhi is an Indic writing system primarily used for the Punjabi language and for recording Sikh religious scriptures.
-
B.
Diwani script
Diwani script is an ornate Ottoman-era style of Arabic calligraphy characterized by its intricate, flowing lines and dense, decorative composition often used in royal decrees and official documents.
-
C.
Ruqʿah script
Ruqʿah script is a simple, highly legible Arabic handwriting style commonly used for everyday writing and official documents in the Arab world.
-
D.
Devanagari script
Devanagari script is an abugida writing system used for several major South Asian languages, including Hindi, Marathi, Nepali, and Sanskrit.
-
E.
Perso-Arabic script
chosen
The Perso-Arabic script is a modified form of the Arabic writing system, expanded with additional letters and conventions to represent the sounds of Persian and several other languages across the Middle East and South Asia.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25b800d08819099a44429d5c82c68 |
completed | Feb. 28, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2917c62d8819080f6f8330efb76ed |
completed | Feb. 28, 2026, 6:55 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.