Triple
T13901399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landa |
E334229
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Punjab region |
E2323
|
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: Punjab region | Statement: [Landa, usedIn, Punjab region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punjab region Context triple: [Landa, usedIn, Punjab region]
-
A.
South Punjab
South Punjab is a culturally rich and historically significant region in Pakistan, known for its Sufi heritage, distinctive Saraiki language and traditions, and agricultural heartlands along the Indus River.
-
B.
southwestern Punjab
Southwestern Punjab is a region in the Indian state of Punjab known for its arid plains, agricultural economy, and proximity to the India–Pakistan border.
-
C.
Punjab
chosen
Punjab is a historically and culturally rich region of South Asia, known for its fertile agricultural lands, Sikh heritage, and partition between modern-day India and Pakistan.
-
D.
Panjab
Panjab is a town in Afghanistan’s Hazarajat region that serves as an important local center within Bamyan Province.
-
E.
Northern Punjab
Northern Punjab is the northern region of the Punjab area in Pakistan, known for its fertile plains, historic cultural centers, and diverse landscapes ranging from river valleys to low hills.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d9c7a48190ad8fb0ca676f4f7b |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c26ba08190b19560123691fda4 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:15 p.m.