Triple

T10670568
Position Surface form Disambiguated ID Type / Status
Subject Chinese Filipinos E251473 entity
Predicate associatedDistrict P29284 FINISHED
Object Ongpin Street E277712 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: Ongpin Street | Statement: [Chinese Filipinos, associatedDistrict, Ongpin Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ongpin Street
Context triple: [Chinese Filipinos, associatedDistrict, Ongpin Street]
  • A. Ongpin Street chosen
    Ongpin Street is a historic and bustling thoroughfare in Manila’s Binondo district, famed as the heart of the world’s oldest Chinatown and known for its Chinese shops, restaurants, and cultural landmarks.
  • B. Nehoa Street
    Nehoa Street is a residential and local thoroughfare located in the Makiki neighborhood of Honolulu, Hawaii.
  • C. Kiwitea Street
    Kiwitea Street is a football ground in Auckland, New Zealand, best known as the long-time home venue of Auckland City FC.
  • D. Nathan Road
    Nathan Road is a major thoroughfare and bustling commercial street in Kowloon, Hong Kong, famous for its neon signs, shops, and dense urban atmosphere.
  • E. Hang Gai Street
    Hang Gai Street is a famous, bustling thoroughfare in Hanoi’s Old Quarter known for its silk shops, traditional textiles, and historic atmosphere.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f86390648190851693aedce6b7ad completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b78e7ec819093e5e631197ed295 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:09 p.m.