Triple
T7508028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurangabad railway station |
E177441
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Kacheguda
Kacheguda is a major railway station in Hyderabad, India, serving as an important junction and hub for regional and long-distance trains.
|
E678642
|
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: Kacheguda | Statement: [Aurangabad railway station, connectsTo, Kacheguda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kacheguda Context triple: [Aurangabad railway station, connectsTo, Kacheguda]
-
A.
Karamchedu
Karamchedu is a village in Andhra Pradesh, India, known for its agrarian community and as the site of the 1985 Karamchedu caste violence.
-
B.
Narayanavanam
Narayanavanam is a small town in the Tirupati district of Andhra Pradesh, India, known for its historic temples and religious significance.
-
C.
Dundigal
Dundigal is a suburban area near Hyderabad in Telangana, India, known primarily for hosting the Indian Air Force Academy.
-
D.
Gannavaram
Gannavaram is a suburban town near Vijayawada in Andhra Pradesh, India, known primarily for hosting the city's main airport.
-
E.
Banaganapalle
Banaganapalle is a town and legislative assembly constituency in the Nandyal district of Andhra Pradesh, India, known historically for its mangoes and regional political significance.
- 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: Kacheguda Triple: [Aurangabad railway station, connectsTo, Kacheguda]
Generated description
Kacheguda is a major railway station in Hyderabad, India, serving as an important junction and hub for regional and long-distance trains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kacheguda Target entity description: Kacheguda is a major railway station in Hyderabad, India, serving as an important junction and hub for regional and long-distance trains.
-
A.
Karamchedu
Karamchedu is a village in Andhra Pradesh, India, known for its agrarian community and as the site of the 1985 Karamchedu caste violence.
-
B.
Narayanavanam
Narayanavanam is a small town in the Tirupati district of Andhra Pradesh, India, known for its historic temples and religious significance.
-
C.
Dundigal
Dundigal is a suburban area near Hyderabad in Telangana, India, known primarily for hosting the Indian Air Force Academy.
-
D.
Gannavaram
Gannavaram is a suburban town near Vijayawada in Andhra Pradesh, India, known primarily for hosting the city's main airport.
-
E.
Banaganapalle
Banaganapalle is a town and legislative assembly constituency in the Nandyal district of Andhra Pradesh, India, known historically for its mangoes and regional political significance.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c87070d8a88190afde21f548d86292 |
completed | March 29, 2026, 12:21 a.m. |
| NEDg | Description generation | batch_69c8723391f48190b60ba8952c9ccca7 |
completed | March 29, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c87401aaa48190b3e44298fcd3f37f |
completed | March 29, 2026, 12:36 a.m. |
Created at: March 27, 2026, 3:45 p.m.