Triple
T2359228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telangana |
E47231
|
entity |
| Predicate | hasITHub |
P460
|
FINISHED |
| Object | HITEC City |
E70649
|
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: HITEC City | Statement: [Telangana, hasITHub, HITEC City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HITEC City Context triple: [Telangana, hasITHub, HITEC City]
-
A.
HITEC City
chosen
HITEC City is a major technology and business district in Hyderabad, India, known for housing numerous IT companies, multinational corporations, and modern infrastructure.
-
B.
Tokyo Skytree Town
Tokyo Skytree Town is a large commercial and entertainment complex in Tokyo that surrounds the Tokyo Skytree and features shopping, dining, an aquarium, and various leisure facilities.
-
C.
Nipponbashi Den Den Town
Nipponbashi Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, gaming, and hobby stores.
-
D.
Chibi City
Chibi City is a county-level city in southeastern Hubei Province, China, historically known as the site of the famous Battle of Red Cliffs.
-
E.
Keihin Industrial Zone
The Keihin Industrial Zone is a major Japanese industrial and port area spanning parts of Tokyo and Kanagawa Prefecture, known for its heavy manufacturing, petrochemical complexes, and logistics facilities along Tokyo Bay.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc720b9048190a5d3b19e5e1f373a |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae963b84f08190b3ca60db98dd8745 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:55 p.m.