Triple
T13480174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up-Country |
E318351
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Diyatalawa
Diyatalawa is a Sri Lankan hill town known for its cool climate, military training camps, and scenic up-country surroundings.
|
E1042443
|
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: Diyatalawa | Statement: [Up-Country, contains, Diyatalawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diyatalawa Context triple: [Up-Country, contains, Diyatalawa]
-
A.
Digil
Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
-
B.
Dikwella
Dikwella is a coastal town in southern Sri Lanka known for its beaches and the towering Wewurukannala Vihara Buddha statue.
-
C.
Durumi
Durumi is the nickname of Incheon United FC, a South Korean professional football club based in Incheon that competes in the K League.
-
D.
Durumi
Durumi is a residential district and developing urban area located within Nigeria’s Federal Capital Territory, Abuja.
-
E.
Dawadmi
Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
- 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: Diyatalawa Triple: [Up-Country, contains, Diyatalawa]
Generated description
Diyatalawa is a Sri Lankan hill town known for its cool climate, military training camps, and scenic up-country surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diyatalawa Target entity description: Diyatalawa is a Sri Lankan hill town known for its cool climate, military training camps, and scenic up-country surroundings.
-
A.
Digil
Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
-
B.
Dikwella
Dikwella is a coastal town in southern Sri Lanka known for its beaches and the towering Wewurukannala Vihara Buddha statue.
-
C.
Durumi
Durumi is the nickname of Incheon United FC, a South Korean professional football club based in Incheon that competes in the K League.
-
D.
Durumi
Durumi is a residential district and developing urban area located within Nigeria’s Federal Capital Territory, Abuja.
-
E.
Dawadmi
Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf36c6b08190ba99400600e0b662 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463340fc8190b1128bd1d26f91ab |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f747fee42c819097ccfaf01b1bf4da |
completed | May 3, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f748bfc1a481908c3a86018533e45d |
completed | May 3, 2026, 1:08 p.m. |
Created at: April 9, 2026, 9:42 p.m.