Triple
T2431886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohistan ranges |
E52864
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kandia
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
|
E264739
|
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: Kandia | Statement: [Kohistan ranges, hasSettlement, Kandia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandia Context triple: [Kohistan ranges, hasSettlement, Kandia]
-
A.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
B.
Kumba
Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
-
C.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
D.
Kidal
Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- 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: Kandia Triple: [Kohistan ranges, hasSettlement, Kandia]
Generated description
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kandia Target entity description: Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
-
A.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
B.
Kumba
Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
-
C.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
D.
Kidal
Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9c915e881908d97ae4ccc83ab53 |
completed | March 7, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf68d6a481909acd43eb31660f0e |
completed | March 9, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69aec16e9158819087139fd3e86785b0 |
completed | March 9, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec2065b608190bcdc4dd2d82be9d6 |
completed | March 9, 2026, 12:50 p.m. |
Created at: March 6, 2026, 9:43 p.m.