Triple
T10223283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mancherial district |
E242635
|
entity |
| Predicate | hasHeadquarters |
P62
|
FINISHED |
| Object |
Mancherial
Mancherial is a town in the Indian state of Telangana known as a regional commercial and industrial center, particularly for coal mining and related industries.
|
E850505
|
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: Mancherial | Statement: [Mancherial district, hasHeadquarters, Mancherial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mancherial Context triple: [Mancherial district, hasHeadquarters, Mancherial]
-
A.
Yelamanchili
Yelamanchili is a town in the Visakhapatnam district of Andhra Pradesh, India, known for its historical significance and proximity to the Eastern Ghats.
-
B.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
C.
Manpada
Manpada is a residential suburb located in the city of Thane in the Mumbai Metropolitan Region of Maharashtra, India.
-
D.
Tathra
Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
-
E.
Mylavaram
Mylavaram is a legislative assembly constituency in the Indian state of Andhra Pradesh that forms part of the Vijayawada Lok Sabha parliamentary seat.
- 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: Mancherial Triple: [Mancherial district, hasHeadquarters, Mancherial]
Generated description
Mancherial is a town in the Indian state of Telangana known as a regional commercial and industrial center, particularly for coal mining and related industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mancherial Target entity description: Mancherial is a town in the Indian state of Telangana known as a regional commercial and industrial center, particularly for coal mining and related industries.
-
A.
Yelamanchili
Yelamanchili is a town in the Visakhapatnam district of Andhra Pradesh, India, known for its historical significance and proximity to the Eastern Ghats.
-
B.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
C.
Manpada
Manpada is a residential suburb located in the city of Thane in the Mumbai Metropolitan Region of Maharashtra, India.
-
D.
Tathra
Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
-
E.
Mylavaram
Mylavaram is a legislative assembly constituency in the Indian state of Andhra Pradesh that forms part of the Vijayawada Lok Sabha parliamentary seat.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa8305e481908ee1fc1d9eda6fa0 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a8457e9c819085f222bb002be892 |
completed | April 8, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d6d00220ec81909d189e64eda2a28f |
completed | April 8, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6df44ad5481909100b596d2bf3b07 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 6, 2026, 11:10 a.m.