Triple

T15704975
Position Surface form Disambiguated ID Type / Status
Subject Arraiolos E380683 entity
Predicate timeZone P109 FINISHED
Object WET
WET (Western European Time) is a standard time zone used by several Western European countries, including Portugal and the United Kingdom during winter months, corresponding to UTC+0.
E1172165 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: WET | Statement: [Arraiolos, timeZone, WET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WET
Context triple: [Arraiolos, timeZone, WET]
  • A. Wet
    Wet is an American indie pop band known for its minimalist, emotionally intimate songs that blend atmospheric production with vulnerable lyrics.
  • B. Hot & Wet
    "Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
  • C. Wet Me
    Wet Me is an adult film scene featured as a segment within the pornographic movie "This Ain't a Game."
  • D. wat
    Wat is a Buddhist temple complex commonly found in mainland Southeast Asia, serving as a religious, cultural, and community center.
  • E. Dangerous When Wet
    Dangerous When Wet is a 1953 MGM musical comedy film starring Esther Williams, best known for its elaborate aquatic sequences and direction by Charles Walters.
  • 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: WET
Triple: [Arraiolos, timeZone, WET]
Generated description
WET (Western European Time) is a standard time zone used by several Western European countries, including Portugal and the United Kingdom during winter months, corresponding to UTC+0.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WET
Target entity description: WET (Western European Time) is a standard time zone used by several Western European countries, including Portugal and the United Kingdom during winter months, corresponding to UTC+0.
  • A. Wet
    Wet is an American indie pop band known for its minimalist, emotionally intimate songs that blend atmospheric production with vulnerable lyrics.
  • B. Hot & Wet
    "Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
  • C. Wet Me
    Wet Me is an adult film scene featured as a segment within the pornographic movie "This Ain't a Game."
  • D. wat
    Wat is a Buddhist temple complex commonly found in mainland Southeast Asia, serving as a religious, cultural, and community center.
  • E. Dangerous When Wet
    Dangerous When Wet is a 1953 MGM musical comedy film starring Esther Williams, best known for its elaborate aquatic sequences and direction by Charles Walters.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6fc3608190a85b25755f5345db completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757997348190b29a9b55ba08169f completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff7653ccc08190b4b44b4f55344f65 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76d21a148190bbe66c3ff12386f3 completed May 9, 2026, 6:02 p.m.
Created at: April 10, 2026, 4:45 a.m.