Triple

T3341344
Position Surface form Disambiguated ID Type / Status
Subject Cyberabad E70266 entity
Predicate hasArea P175 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: [Cyberabad, hasArea, HITEC City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HITEC City
Context triple: [Cyberabad, hasArea, 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. Minato Mirai
    Minato Mirai is a modern waterfront urban district in Yokohama, Japan, known for its distinctive skyline, shopping centers, and cultural attractions.
  • D. 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.
  • E. 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.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a92555c81909a4769b6ecea5721 completed March 12, 2026, 7:57 p.m.
Created at: March 8, 2026, 3:12 p.m.