Triple

T1632142
Position Surface form Disambiguated ID Type / Status
Subject Internet Standard E35278 entity
Predicate hasExample P1259 FINISHED
Object STD 1
STD 1 is an early Internet Standard that specifies the foundational Internet Protocol (IP), defining how data packets are addressed and routed across interconnected networks.
 E184135 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: STD 1 | Statement: [Internet Standard, hasExample, STD 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STD 1
Context triple: [Internet Standard, hasExample, STD 1]
  • A. STD 5
    STD 5 is the Internet Standard that defines the core Internet Protocol (IP), as specified primarily in RFC 791.
  • B. STT
    STT is the IATA airport code for Cyril E. King Airport, the main international gateway to St. Thomas in the U.S. Virgin Islands.
  • C. Stuvsta
    Stuvsta is a residential district and commuter suburb in the southern Stockholm area of Sweden, known for its villas, local center, and good rail connections to central Stockholm.
  • D. STP
    STP is the three-letter ISO 3166-1 alpha-3 country code for São Tomé and Príncipe, an island nation in the Gulf of Guinea off Central Africa.
  • E. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • 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: STD 1
Triple: [Internet Standard, hasExample, STD 1]
Generated description
STD 1 is an early Internet Standard that specifies the foundational Internet Protocol (IP), defining how data packets are addressed and routed across interconnected networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STD 1
Target entity description: STD 1 is an early Internet Standard that specifies the foundational Internet Protocol (IP), defining how data packets are addressed and routed across interconnected networks.
  • A. STD 5
    STD 5 is the Internet Standard that defines the core Internet Protocol (IP), as specified primarily in RFC 791.
  • B. STT
    STT is the IATA airport code for Cyril E. King Airport, the main international gateway to St. Thomas in the U.S. Virgin Islands.
  • C. Stuvsta
    Stuvsta is a residential district and commuter suburb in the southern Stockholm area of Sweden, known for its villas, local center, and good rail connections to central Stockholm.
  • D. STP
    STP is the three-letter ISO 3166-1 alpha-3 country code for São Tomé and Príncipe, an island nation in the Gulf of Guinea off Central Africa.
  • E. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909f6ee1881908f0753a77a2c4665 completed March 5, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d79bc88190bfc62f53dd8e8b90 completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a8083008190b46812bd3ebb27c9 completed March 8, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ad5aef85a88190b86b8845f180b334 completed March 8, 2026, 11:18 a.m.
Created at: March 4, 2026, 7:28 p.m.