Triple
T19815000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamareddy |
E476036
|
entity |
| Predicate | hasRoadConnectivityWith |
P11435
|
FINISHED |
| Object | Nizamabad |
—
|
NE NERFINISHED |
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: Nizamabad | Statement: [Kamareddy, hasRoadConnectivityWith, Nizamabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nizamabad Context triple: [Kamareddy, hasRoadConnectivityWith, Nizamabad]
-
A.
Nizamabad
chosen
Nizamabad is a major city in the Indian state of Telangana, known as an important commercial and administrative center for the surrounding region.
-
B.
Mahbubnagar
Mahbubnagar is a town and district headquarters in the Indian state of Telangana, known for its agricultural surroundings and proximity to major rivers and irrigation projects.
-
C.
Nizamabad district
Nizamabad district is an administrative region in the Indian state of Telangana, known for its agricultural economy, historical sites, and reliance on river-based irrigation.
-
D.
Guntur
Guntur is a volcanic mountain in West Java, Indonesia, known for its geothermal activity and scenic hiking routes.
-
E.
Guntur
Guntur is a major city in the Indian state of Andhra Pradesh, known historically as an important administrative and commercial center in southeastern India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f861248190a633dd8d227d9697 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.