Triple

T17006412
Position Surface form Disambiguated ID Type / Status
Subject Chʻên E412581 entity
Predicate romanizesSurname P2508 FINISHED
Object Chen E113104 NE FINISHED

How this triple was built (3 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: Chen | Statement: [Chʻên, romanizesSurname, Chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chen
Context triple: [Chʻên, romanizesSurname, Chen]
  • A. Chen chosen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • B. 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.
  • C. Cheng
    Cheng is a given name associated with the Chinese politician Chen Cheng.
  • D. Zheng
    Zheng is the given name of Qin Shi Huang, the first emperor who unified China and founded the Qin dynasty.
  • E. Shen
    Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanizesSurname
Context triple: [Chʻên, romanizesSurname, Chen]
  • A. romanizationFrom
    Indicates that one entity is a romanized representation derived from the script or writing system of another entity.
  • B. romanizesVowel
    Indicates the action of converting a vowel from a non-Roman writing system into its corresponding representation in the Roman (Latin) alphabet.
  • C. hasRomanizationOf chosen
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • D. romanizationProcess
    Indicates the process of converting text from a non-Latin writing system into a representation using the Latin alphabet.
  • E. romanizesConsonant
    Indicates that one system or process converts or represents a consonant from one writing system or script into its corresponding form in another script (typically a Latin-based romanization).
  • F. None of above.

Provenance (4 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3831268819089286053a5acf653 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233134288190bbe151f257150dfb completed May 11, 2026, 12:30 a.m.
PD Predicate disambiguation batch_69e35d552bc08190af17ef7659e094ef completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.