Triple
T18487821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyberabad Days |
E451735
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Cyberabad |
—
|
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: Cyberabad | Statement: [Cyberabad Days, setting, Cyberabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyberabad Context triple: [Cyberabad Days, setting, Cyberabad]
-
A.
Cyberabad
chosen
Cyberabad is a popular moniker for the technology-driven, IT and software hub aspects of Hyderabad, India.
-
B.
Cybercity Magarpatta
Cybercity Magarpatta is the major IT and business hub within Magarpatta City in Pune, India, housing numerous technology companies and corporate offices.
-
C.
Thikkiiana City
Thikkiiana City is a major Wookiee settlement on the forested world of Kashyyyk in the Star Wars universe, known for its towering wroshyr trees and elevated architecture.
-
D.
Ameerpet
Ameerpet is a major commercial and educational hub in Hyderabad, India, known for its dense concentration of training institutes, offices, and shopping centers.
-
E.
Sheger City
Sheger City is a newly established administrative city in Ethiopia that encompasses parts of Addis Ababa and its surroundings, serving as a growing political and cultural hub.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d8bac4819099306abbf78b9565 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.