Triple
T22740758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombo–Batticaloa route |
E562404
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object |
Kalkudah
Kalkudah is a coastal town in eastern Sri Lanka known for its long sandy beaches and proximity to the popular resort area of Pasikuda.
|
E1551942
|
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: Kalkudah | Statement: [Colombo–Batticaloa route, passesThroughCity, Kalkudah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalkudah Context triple: [Colombo–Batticaloa route, passesThroughCity, Kalkudah]
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
C.
Keezhmad
Keezhmad is a village-level settlement in the Aluva region of Kerala, India, known for its predominantly residential character and proximity to the town of Aluva.
-
D.
Kanhangad
Kanhangad is a coastal town in the Indian state of Kerala known for its temples, beaches, and proximity to the Bekal Fort area.
-
E.
Koottilangadi
Koottilangadi is a town in Kerala, India, situated in the Malappuram district and known as one of its notable local commercial and residential centers.
- 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: Kalkudah Triple: [Colombo–Batticaloa route, passesThroughCity, Kalkudah]
Generated description
Kalkudah is a coastal town in eastern Sri Lanka known for its long sandy beaches and proximity to the popular resort area of Pasikuda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalkudah Target entity description: Kalkudah is a coastal town in eastern Sri Lanka known for its long sandy beaches and proximity to the popular resort area of Pasikuda.
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
C.
Keezhmad
Keezhmad is a village-level settlement in the Aluva region of Kerala, India, known for its predominantly residential character and proximity to the town of Aluva.
-
D.
Kanhangad
Kanhangad is a coastal town in the Indian state of Kerala known for its temples, beaches, and proximity to the Bekal Fort area.
-
E.
Koottilangadi
Koottilangadi is a town in Kerala, India, situated in the Malappuram district and known as one of its notable local commercial and residential centers.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17972fde8819086094cea289a2af8 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fd07e9481909ff8057024ea2d94 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b92e5412c81909968a22571229283 |
completed | May 18, 2026, 10:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b93668f0c8190b86094e42fa89c1d |
completed | May 18, 2026, 10:32 p.m. |
Created at: April 17, 2026, 3:23 p.m.