Triple

T4651247
Position Surface form Disambiguated ID Type / Status
Subject Common Crawl E102298 entity
Predicate dataFormat P130 FINISHED
Object WARC
WARC is a standardized file format used to store and archive web crawls and their associated metadata at scale.
 E457874 NE FINISHED

How this triple was built (4 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: WARC | Statement: [Common Crawl, dataFormat, WARC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WARC
Context triple: [Common Crawl, dataFormat, WARC]
  • A. WMC
    WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
  • B. Bomis
    Bomis was an early web portal and search engine company co-founded by Jimmy Wales that later played a key role in funding and incubating Wikipedia.
  • C. WCAP
    WCAP (Web Calendar Access Protocol) is a web-based protocol developed by Sun for accessing and managing calendar data on networked calendar servers.
  • D. WARR
    WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
  • E. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WARC
Triple: [Common Crawl, dataFormat, WARC]
Generated description
WARC is a standardized file format used to store and archive web crawls and their associated metadata at scale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WARC
Target entity description: WARC is a standardized file format used to store and archive web crawls and their associated metadata at scale.
  • A. WMC
    WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
  • B. Bomis
    Bomis was an early web portal and search engine company co-founded by Jimmy Wales that later played a key role in funding and incubating Wikipedia.
  • C. WCAP
    WCAP (Web Calendar Access Protocol) is a web-based protocol developed by Sun for accessing and managing calendar data on networked calendar servers.
  • D. WARR
    WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
  • E. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • F. None of above. chosen

Provenance (5 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfbc12acc8190b8116a6003abb3e3 completed March 21, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc44536c8190a71e52b0690a7570 completed March 21, 2026, 2:02 a.m.
Created at: March 20, 2026, 1:14 p.m.