Triple
T9196853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amravati district |
E220736
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Anjangaon Surji
Anjangaon Surji is a town in the Amravati district of Maharashtra, India, known primarily as a local commercial and agricultural center.
|
E784043
|
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: Anjangaon Surji | Statement: [Amravati district, hasTown, Anjangaon Surji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjangaon Surji Context triple: [Amravati district, hasTown, Anjangaon Surji]
-
A.
Ramdurg
Ramdurg is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
-
B.
Nategaon
Nategaon is a village in India known primarily as the birthplace of prominent Indian civil servant and economist C. D. Deshmukh.
-
C.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
-
D.
Nandgaon
Nandgaon is a historic town in the Braj region of India, revered in Hindu tradition as the childhood home of Lord Krishna and an important pilgrimage site.
-
E.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
- 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: Anjangaon Surji Triple: [Amravati district, hasTown, Anjangaon Surji]
Generated description
Anjangaon Surji is a town in the Amravati district of Maharashtra, India, known primarily as a local commercial and agricultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anjangaon Surji Target entity description: Anjangaon Surji is a town in the Amravati district of Maharashtra, India, known primarily as a local commercial and agricultural center.
-
A.
Ramdurg
Ramdurg is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
-
B.
Nategaon
Nategaon is a village in India known primarily as the birthplace of prominent Indian civil servant and economist C. D. Deshmukh.
-
C.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
-
D.
Nandgaon
Nandgaon is a historic town in the Braj region of India, revered in Hindu tradition as the childhood home of Lord Krishna and an important pilgrimage site.
-
E.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c3b1af48190bb03af15232c510d |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05cfb7058819080d80b7f28125199 |
completed | April 4, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05d91ad4c8190a45db7484b9f058a |
completed | April 4, 2026, 12:38 a.m. |
Created at: March 30, 2026, 7:25 p.m.