Triple
T20551721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhagwan Dattatreya |
E504610
|
entity |
| Predicate | hasMajorPilgrimageSite |
P20225
|
FINISHED |
| Object |
Ganagapur
Ganagapur is a prominent Hindu pilgrimage town in Karnataka, India, revered as a sacred center associated with Lord Dattatreya and the saint Narasimha Saraswati.
|
E1439867
|
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: Ganagapur | Statement: [Bhagwan Dattatreya, hasMajorPilgrimageSite, Ganagapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganagapur Context triple: [Bhagwan Dattatreya, hasMajorPilgrimageSite, Ganagapur]
-
A.
Gadarpur
Gadarpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known primarily as an agricultural and trading center in the Terai region.
-
B.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
-
C.
Panagarh
Panagarh is a town in West Bengal, India, known as a key railway and military hub in the Bardhaman district.
-
D.
Babarpur
Babarpur is a residential and commercial neighborhood located in the Shahdara area of East Delhi, India.
-
E.
Ishwarpur
Ishwarpur is a municipality-level city located in Nepal’s Madhesh 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: Ganagapur Triple: [Bhagwan Dattatreya, hasMajorPilgrimageSite, Ganagapur]
Generated description
Ganagapur is a prominent Hindu pilgrimage town in Karnataka, India, revered as a sacred center associated with Lord Dattatreya and the saint Narasimha Saraswati.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ganagapur Target entity description: Ganagapur is a prominent Hindu pilgrimage town in Karnataka, India, revered as a sacred center associated with Lord Dattatreya and the saint Narasimha Saraswati.
-
A.
Gadarpur
Gadarpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known primarily as an agricultural and trading center in the Terai region.
-
B.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
-
C.
Panagarh
Panagarh is a town in West Bengal, India, known as a key railway and military hub in the Bardhaman district.
-
D.
Babarpur
Babarpur is a residential and commercial neighborhood located in the Shahdara area of East Delhi, India.
-
E.
Ishwarpur
Ishwarpur is a municipality-level city located in Nepal’s Madhesh 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d98c348190ac516bc2df59d878 |
completed | April 20, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3dbec1081908614aec1b14b5b45 |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b4654cd48190bbde86df2877d058 |
completed | May 16, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b4cb2fc081909ef18cb0408ac76d |
completed | May 16, 2026, 6:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.