Triple

T10670583
Position Surface form Disambiguated ID Type / Status
Subject Chinese Filipinos E251473 entity
Predicate alternativeName P39 FINISHED
Object Chinoy E879552 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: Chinoy | Statement: [Chinese Filipinos, alternativeName, Chinoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinoy
Context triple: [Chinese Filipinos, alternativeName, Chinoy]
  • A. Malchina
    Malchina is a small settlement or locality within the municipality of Sgonico in the Friuli Venezia Giulia region of northeastern Italy.
  • B. Chinamada
    Chinamada is a small traditional cave-dwelling hamlet in the Anaga mountains of Tenerife, Canary Islands, known for its dramatic landscapes and hiking trails.
  • C. Tsinoy chosen
    Tsinoy refers to people of Chinese descent in the Philippines who share a blended Chinese and Filipino cultural identity.
  • D. Chin-men
    Chin-men is an alternative name for Kinmen, a group of strategically located islands governed by Taiwan near the coast of mainland China.
  • E. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • 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_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:09 p.m.