Triple

T22166091
Position Surface form Disambiguated ID Type / Status
Subject Spanish International Network E547791 entity
Predicate alsoKnownAs P39 FINISHED
Object SIN
SIN was a pioneering U.S.-based Spanish-language television network that served Hispanic audiences and later evolved into what is now Univision.
 E1523745 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: SIN | Statement: [Spanish International Network, alsoKnownAs, SIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SIN
Context triple: [Spanish International Network, alsoKnownAs, SIN]
  • A. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • B. SINP
    SINP is the commonly used abbreviation for the Skobeltsyn Institute of Nuclear Physics, a major Russian research institute specializing in nuclear and particle physics.
  • C. Sines
    Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
  • D. Sin Sin Sin
    "Sin Sin Sin" is a track by the British electronic music group Intensive Care.
  • E. Sini
    Sini is an alternative name for the character Yuyudhana, a warrior figure known from Indian epic tradition.
  • 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: SIN
Triple: [Spanish International Network, alsoKnownAs, SIN]
Generated description
SIN was a pioneering U.S.-based Spanish-language television network that served Hispanic audiences and later evolved into what is now Univision.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SIN
Target entity description: SIN was a pioneering U.S.-based Spanish-language television network that served Hispanic audiences and later evolved into what is now Univision.
  • A. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • B. SINP
    SINP is the commonly used abbreviation for the Skobeltsyn Institute of Nuclear Physics, a major Russian research institute specializing in nuclear and particle physics.
  • C. Sines
    Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
  • D. Sin Sin Sin
    "Sin Sin Sin" is a track by the British electronic music group Intensive Care.
  • E. Sini
    Sini is an alternative name for the character Yuyudhana, a warrior figure known from Indian epic tradition.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a314cc081908857c13d018d52b2 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ebeab0081908baf171fd1e7b241 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0aa2c897f481908f379e8b956b6cfc completed May 18, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa3313bb88190b1223ee5268bc859 completed May 18, 2026, 5:27 a.m.
Created at: April 16, 2026, 8:34 p.m.