Triple
T12949058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neelum Valley |
E309841
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Dowarian
Dowarian is a scenic village in Pakistan’s Neelum Valley, known for its lush forests, riverside views, and role as a gateway to nearby alpine attractions.
|
E1011533
|
NE FINISHED |
How this triple was built (4 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: Dowarian | Statement: [Neelum Valley, hasVillage, Dowarian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dowarian Context triple: [Neelum Valley, hasVillage, Dowarian]
-
A.
Wordian
The Wordian is a middle stage of the Permian Period, representing a specific interval of geologic time characterized by distinct fossil assemblages and global stratigraphic markers.
-
B.
Ovwian
Ovwian is a town in Delta State, Nigeria, known as part of the Udu local government area in the Niger Delta region.
-
C.
Bodéwadmi
Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
-
D.
Krakozhian
Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
-
E.
Tevanian
Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dowarian Triple: [Neelum Valley, hasVillage, Dowarian]
Generated description
Dowarian is a scenic village in Pakistan’s Neelum Valley, known for its lush forests, riverside views, and role as a gateway to nearby alpine attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dowarian Target entity description: Dowarian is a scenic village in Pakistan’s Neelum Valley, known for its lush forests, riverside views, and role as a gateway to nearby alpine attractions.
-
A.
Wordian
The Wordian is a middle stage of the Permian Period, representing a specific interval of geologic time characterized by distinct fossil assemblages and global stratigraphic markers.
-
B.
Ovwian
Ovwian is a town in Delta State, Nigeria, known as part of the Udu local government area in the Niger Delta region.
-
C.
Bodéwadmi
Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
-
D.
Krakozhian
Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
-
E.
Tevanian
Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
- F. None of above. chosen
Provenance (5 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1c67b8819094e5243267f93ce2 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7790808190826f98e8aff01523 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b115720481908796955032043530 |
completed | May 3, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1ea3d288190875888be8356da48 |
completed | May 3, 2026, 2:24 a.m. |
Created at: April 9, 2026, 5:43 p.m.