Triple
T9461656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prasuni |
E228159
|
entity |
| Predicate | spokenInValley |
P38864
|
FINISHED |
| Object | Prasun Valley |
E228810
|
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: Prasun Valley | Statement: [Prasuni, spokenInValley, Prasun Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prasun Valley Context triple: [Prasuni, spokenInValley, Prasun Valley]
-
A.
Pranhita valley
Pranhita valley is a river valley region in central India known for its rich fossil beds and significant geological formations along the Pranhita River.
-
B.
Jogindernagar Valley
Jogindernagar Valley is a scenic Himalayan valley in Himachal Pradesh, India, known for its hydropower projects, lush landscapes, and trekking opportunities.
-
C.
Parun Valley
chosen
Parun Valley is a remote mountainous valley in eastern Afghanistan’s Nuristan region, known as the homeland of the Prasun-speaking Nuristani people.
-
D.
Surma Valley
Surma Valley is a fertile, riverine region in northeastern South Asia known for its tea gardens, lush landscapes, and cultural diversity.
-
E.
Alpuri Valley
Alpuri Valley is a scenic mountainous valley located in Pakistan’s Shangla District, known for its natural beauty and rural landscapes.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1229ec9448190bac9b7a38e030833 |
completed | April 4, 2026, 2:39 p.m. |
Created at: March 30, 2026, 7:52 p.m.