Triple
T14150469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kacheguda railway station |
E350664
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kacheguda |
E678642
|
NE FINISHED |
How this triple was built (2 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: [Kacheguda railway station, locatedIn, Kacheguda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kacheguda Context triple: [Kacheguda railway station, locatedIn, Kacheguda]
-
A.
Kacheguda
chosen
Kacheguda is a major railway station in Hyderabad, India, serving as an important junction and hub for regional and long-distance trains.
-
B.
Tadipatri
Tadipatri is a town in the Anantapur district of Andhra Pradesh, India, known for its granite industries and historic temples.
-
C.
Karamchedu
Karamchedu is a village in Andhra Pradesh, India, known for its agrarian community and as the site of the 1985 Karamchedu caste violence.
-
D.
Narayanavanam
Narayanavanam is a small town in the Tirupati district of Andhra Pradesh, India, known for its historic temples and religious significance.
-
E.
Kaniguram
Kaniguram is a historic town in South Waziristan, Pakistan, known as a traditional center of the Ormur (Burki) ethnic community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324772e4819092aef7826b39b144 |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 10, 2026, 12:56 a.m.