Triple
T9246417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Godavari district |
E222206
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Amalapuram
Amalapuram is a town in the Konaseema region of Andhra Pradesh, India, known as a regional educational and commercial center surrounded by lush coconut and paddy fields.
|
E788160
|
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: Amalapuram | Statement: [East Godavari district, contains, Amalapuram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amalapuram Context triple: [East Godavari district, contains, Amalapuram]
-
A.
Kaamalapuram
Kaamalapuram is a locality in Tamil Nadu, India, known primarily for hosting the airport that serves the city of Salem.
-
B.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
D.
Kotturpuram
Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
-
E.
Mayilappur
Mayilappur is the traditional Tamil name for Mylapore, a historic and culturally significant neighborhood in Chennai, India.
- 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: Amalapuram Triple: [East Godavari district, contains, Amalapuram]
Generated description
Amalapuram is a town in the Konaseema region of Andhra Pradesh, India, known as a regional educational and commercial center surrounded by lush coconut and paddy fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amalapuram Target entity description: Amalapuram is a town in the Konaseema region of Andhra Pradesh, India, known as a regional educational and commercial center surrounded by lush coconut and paddy fields.
-
A.
Kaamalapuram
Kaamalapuram is a locality in Tamil Nadu, India, known primarily for hosting the airport that serves the city of Salem.
-
B.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
D.
Kotturpuram
Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
-
E.
Mayilappur
Mayilappur is the traditional Tamil name for Mylapore, a historic and culturally significant neighborhood in Chennai, India.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd03f181e081908d9ff7dc6f86420e |
completed | April 1, 2026, 11:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bca80a481908038fee287989a54 |
completed | April 4, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69d09cf11e488190b61f4a61002454e6 |
completed | April 4, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09e2069048190ac22b738fa324771 |
completed | April 4, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:30 p.m.