Triple
T19407426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sant Kabir Nagar |
E485497
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Dhanghata
Dhanghata is a prominent town and administrative center in the Sant Kabir Nagar district of Uttar Pradesh, India.
|
E1377246
|
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: Dhanghata | Statement: [Sant Kabir Nagar, hasMajorTown, Dhanghata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhanghata Context triple: [Sant Kabir Nagar, hasMajorTown, Dhanghata]
-
A.
Dwarikhal
Dwarikhal is a small town located in the hilly Pauri Garhwal district of Uttarakhand in northern India.
-
B.
Khagaul
Khagaul is a town in the Patna district of Bihar, India, historically known as an ancient center of astronomy and learning.
-
C.
Chakdara
Chakdara is a town in Pakistan’s Khyber Pakhtunkhwa province, known as a strategic gateway to the Swat Valley and an area rich in archaeological and historical significance.
-
D.
Jhandi Dhar
Jhandi Dhar is a prominent mountain ridge in Uttarakhand, India, known as the highest point within Binsar Wildlife Sanctuary and a popular spot for panoramic Himalayan views.
-
E.
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
- 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: Dhanghata Triple: [Sant Kabir Nagar, hasMajorTown, Dhanghata]
Generated description
Dhanghata is a prominent town and administrative center in the Sant Kabir Nagar district of Uttar Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dhanghata Target entity description: Dhanghata is a prominent town and administrative center in the Sant Kabir Nagar district of Uttar Pradesh, India.
-
A.
Dwarikhal
Dwarikhal is a small town located in the hilly Pauri Garhwal district of Uttarakhand in northern India.
-
B.
Khagaul
Khagaul is a town in the Patna district of Bihar, India, historically known as an ancient center of astronomy and learning.
-
C.
Chakdara
Chakdara is a town in Pakistan’s Khyber Pakhtunkhwa province, known as a strategic gateway to the Swat Valley and an area rich in archaeological and historical significance.
-
D.
Jhandi Dhar
Jhandi Dhar is a prominent mountain ridge in Uttarakhand, India, known as the highest point within Binsar Wildlife Sanctuary and a popular spot for panoramic Himalayan views.
-
E.
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257bad0c819088dd7729b6a36a94 |
completed | April 20, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b230d788190a927035709ac5be6 |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073bc941688190af3b7daee5c5d7e3 |
completed | May 15, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073c574c808190b2ae6df5477c27bb |
completed | May 15, 2026, 3:31 p.m. |
Created at: April 10, 2026, 1:36 p.m.