Triple
T22376397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganjam district |
E553160
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Surada
Surada is a town in the Ganjam district of the Indian state of Odisha, known as a local commercial and administrative center for surrounding rural areas.
|
E1532564
|
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: Surada | Statement: [Ganjam district, hasTown, Surada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surada Context triple: [Ganjam district, hasTown, Surada]
-
A.
Sarodar
Sarodar is a village in Gujarat, India, known primarily as the birthplace of the famed cricketer and ruler Kumar Shri Ranjitsinhji.
-
B.
Sardula
Sardula was a prominent American Thoroughbred racehorse known for her success on the track in the early 1990s.
-
C.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
D.
Sahodhari
Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
-
E.
Sudharak
Sudharak was a Marathi-language social reformist periodical associated with progressive thinker Gopal Ganesh Agarkar, known for advocating rationalism and social change in late 19th-century India.
- 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: Surada Triple: [Ganjam district, hasTown, Surada]
Generated description
Surada is a town in the Ganjam district of the Indian state of Odisha, known as a local commercial and administrative center for surrounding rural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Surada Target entity description: Surada is a town in the Ganjam district of the Indian state of Odisha, known as a local commercial and administrative center for surrounding rural areas.
-
A.
Sarodar
Sarodar is a village in Gujarat, India, known primarily as the birthplace of the famed cricketer and ruler Kumar Shri Ranjitsinhji.
-
B.
Sardula
Sardula was a prominent American Thoroughbred racehorse known for her success on the track in the early 1990s.
-
C.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
D.
Sahodhari
Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
-
E.
Sudharak
Sudharak was a Marathi-language social reformist periodical associated with progressive thinker Gopal Ganesh Agarkar, known for advocating rationalism and social change in late 19th-century India.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158285d208190bc7d05d315267995 |
completed | April 29, 2026, 1 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae06e23dc8190b20d951ea908c6c8 |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae1b572748190a31b34e64a40f57d |
completed | May 18, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae26aaa8081908b255e39fb91dcb2 |
completed | May 18, 2026, 9:56 a.m. |
Created at: April 16, 2026, 8:45 p.m.