Triple
T4739977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhagyanagar |
E105214
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Bhagnagar
Bhagnagar is an alternative historical name associated with the Indian city of Hyderabad.
|
E471129
|
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: Bhagnagar | Statement: [Bhagyanagar, hasAlternativeName, Bhagnagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhagnagar Context triple: [Bhagyanagar, hasAlternativeName, Bhagnagar]
-
A.
Dharmanagar
Dharmanagar is a prominent town and municipal council in the North Tripura district of the Indian state of Tripura, serving as an important local commercial and administrative center.
-
B.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
C.
Krishnanagar
Krishnanagar is a historic town in eastern India known for its cultural heritage, temples, and traditional clay artistry.
-
D.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
E.
Baharampur
Baharampur is a major town and administrative center in the Murshidabad district of the Indian state of West Bengal, known for its historical significance and regional commerce.
- 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: Bhagnagar Triple: [Bhagyanagar, hasAlternativeName, Bhagnagar]
Generated description
Bhagnagar is an alternative historical name associated with the Indian city of Hyderabad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhagnagar Target entity description: Bhagnagar is an alternative historical name associated with the Indian city of Hyderabad.
-
A.
Dharmanagar
Dharmanagar is a prominent town and municipal council in the North Tripura district of the Indian state of Tripura, serving as an important local commercial and administrative center.
-
B.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
C.
Krishnanagar
Krishnanagar is a historic town in eastern India known for its cultural heritage, temples, and traditional clay artistry.
-
D.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
E.
Baharampur
Baharampur is a major town and administrative center in the Murshidabad district of the Indian state of West Bengal, known for its historical significance and regional commerce.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6486f8608190908e43b777810c44 |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d8230208190bfa833f12573f78f |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4e38bccc81909102f922fd395568 |
completed | March 21, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4ea8fa708190909e26268b49b678 |
completed | March 21, 2026, 7:54 a.m. |
Created at: March 20, 2026, 1:19 p.m.