Triple
T10817005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttara Kannada district |
E255256
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Ankola
Ankola is a coastal town in the Uttara Kannada district of Karnataka, India, known for its beaches, agriculture, and traditional Konkani and Kannada culture.
|
E887665
|
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: Ankola | Statement: [Uttara Kannada district, hasTown, Ankola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankola Context triple: [Uttara Kannada district, hasTown, Ankola]
-
A.
Anuak
The Anuak are a Nilotic ethnic group primarily inhabiting the Gambela region of western Ethiopia and parts of South Sudan, known for their agro-pastoral lifestyle and distinct language and culture.
-
B.
Khanke
Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
-
C.
Ometo
Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
-
D.
Ankwe
Ankwe is an alternative name for the Goemai people and their Chadic language spoken primarily in central Nigeria.
-
E.
Moringua
Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
- 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: Ankola Triple: [Uttara Kannada district, hasTown, Ankola]
Generated description
Ankola is a coastal town in the Uttara Kannada district of Karnataka, India, known for its beaches, agriculture, and traditional Konkani and Kannada culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ankola Target entity description: Ankola is a coastal town in the Uttara Kannada district of Karnataka, India, known for its beaches, agriculture, and traditional Konkani and Kannada culture.
-
A.
Anuak
The Anuak are a Nilotic ethnic group primarily inhabiting the Gambela region of western Ethiopia and parts of South Sudan, known for their agro-pastoral lifestyle and distinct language and culture.
-
B.
Khanke
Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
-
C.
Ometo
Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
-
D.
Ankwe
Ankwe is an alternative name for the Goemai people and their Chadic language spoken primarily in central Nigeria.
-
E.
Moringua
Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eea03c8190a68f4d4f89f497a2 |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de855799748190b51745a198daa8d0 |
completed | April 14, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_69de8955b9d8819086ff98efbff6c7a0 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f4a318c819086559fd53506ab29 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.