Triple
T22376396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganjam district |
E553160
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Digapahandi
Digapahandi 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.
|
E1534919
|
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: Digapahandi | Statement: [Ganjam district, hasTown, Digapahandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digapahandi Context triple: [Ganjam district, hasTown, Digapahandi]
-
A.
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.
-
B.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
C.
Dhanghata
Dhanghata is a prominent town and administrative center in the Sant Kabir Nagar district of Uttar Pradesh, India.
-
D.
Dakpathar
Dakpathar is a small town in Uttarakhand, India, known for its barrage on the Yamuna River and its role as a local hydroelectric and irrigation hub.
-
E.
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
- 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: Digapahandi Triple: [Ganjam district, hasTown, Digapahandi]
Generated description
Digapahandi 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: Digapahandi Target entity description: Digapahandi 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.
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.
-
B.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
C.
Dhanghata
Dhanghata is a prominent town and administrative center in the Sant Kabir Nagar district of Uttar Pradesh, India.
-
D.
Dakpathar
Dakpathar is a small town in Uttarakhand, India, known for its barrage on the Yamuna River and its role as a local hydroelectric and irrigation hub.
-
E.
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
- 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_6a0af0d3555081908407b06ae69ffded |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af15595ec81908f51aa352e5a6b86 |
completed | May 18, 2026, 11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af1d3759c819086697ea0124c687b |
completed | May 18, 2026, 11:02 a.m. |
Created at: April 16, 2026, 8:45 p.m.