Triple
T19415450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kartar |
E485700
|
entity |
| Predicate | alternativeScript |
P51273
|
FINISHED |
| Object | क़र्रतार |
—
|
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: क़र्रतार | Statement: [Kartar, alternativeScript, क़र्रतार]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: क़र्रतार Context triple: [Kartar, alternativeScript, क़र्रतार]
-
A.
ਕਰਤਾਰ
chosen
ਕਰਤਾਰ is a Punjabi term commonly used in Sikhism and Punjabi culture to refer to the Creator or God.
-
B.
Tarkarli
Tarkarli is a coastal village in Maharashtra, India, known for its pristine beaches, clear waters, and popular scuba diving and snorkeling spots.
-
C.
Kaithoon
Kaithoon is a town in Rajasthan, India, known for its traditional handwoven Kota Doria sarees and textile craftsmanship.
-
D.
Katargam
Katargam is a prominent residential and industrial suburb in the city of Surat, Gujarat, known especially for its diamond and textile industries.
-
E.
Thatta
Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af90758819088999d98d270011a |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.