Triple
T7685416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijayawada Airport |
E174103
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Gannavaram |
E205517
|
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: Gannavaram | Statement: [Vijayawada Airport, location, Gannavaram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gannavaram Context triple: [Vijayawada Airport, location, Gannavaram]
-
A.
Gannavaram
chosen
Gannavaram is a suburban town near Vijayawada in Andhra Pradesh, India, known primarily for hosting the city's main airport.
-
B.
Narayanavanam
Narayanavanam is a small town in the Tirupati district of Andhra Pradesh, India, known for its historic temples and religious significance.
-
C.
Bheemunipatnam
Bheemunipatnam is a historic coastal town in Andhra Pradesh, India, known for its former Dutch colonial presence, old fortifications, and scenic beaches along the Bay of Bengal.
-
D.
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.
-
E.
Dundigal
Dundigal is a suburban area near Hyderabad in Telangana, India, known primarily for hosting the Indian Air Force Academy.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7022118908190a3a93cfda79be0a4 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8aca0b5b08190b178f0908612164c |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:02 p.m.