Triple

T11871194
Position Surface form Disambiguated ID Type / Status
Subject dan zai noodles E282409 entity
Predicate alsoKnownAs P39 FINISHED
Object danzai noodles E282409 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: danzai noodles | Statement: [dan zai noodles, alsoKnownAs, danzai noodles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: danzai noodles
Context triple: [dan zai noodles, alsoKnownAs, danzai noodles]
  • A. dan dan noodles
    Dan dan noodles are a classic Sichuan street-food noodle dish known for their spicy, numbing chili oil sauce, minced meat topping, and bold, savory flavors.
  • B. dan zai noodles chosen
    Dan zai noodles are a traditional Taiwanese noodle dish, especially associated with Tainan, featuring thin noodles in a savory broth typically topped with minced pork and shrimp.
  • C. kishimen noodles
    Kishimen noodles are a type of flat, broad udon noodle from Japan, especially associated with Nagoya cuisine.
  • D. Kitakata ramen
    Kitakata ramen is a regional Japanese noodle dish known for its chewy, thick, flat noodles served in a soy sauce–based broth, originating from the city of Kitakata in Fukushima.
  • E. Wanko Soba
    Wanko Soba is a style of Japanese soba dining where diners rapidly eat many small bowls of noodles, often as a competitive or celebratory challenge.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be15fb2481908f514781ce2c617f completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281b0969c8190a8c0a01ca292cc84 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.