Triple

T8116026
Position Surface form Disambiguated ID Type / Status
Subject Dreamland E189475 entity
Predicate partOfAlbum P35 FINISHED
Object Hotspot E189489 NE FINISHED

How this triple was built (2 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: Hotspot | Statement: [Dreamland, partOfAlbum, Hotspot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotspot
Context triple: [Dreamland, partOfAlbum, Hotspot]
  • A. Hotspot chosen
    "Hotspot" is a 2020 synth-pop album by English duo Pet Shop Boys, noted for its reflective lyrics and production by Stuart Price.
  • B. Instant Hotspot
    Instant Hotspot is an Apple Continuity feature that lets nearby Apple devices automatically use an iPhone or cellular iPad’s personal hotspot without requiring a manual password entry.
  • C. Hotspot 2.0
    Hotspot 2.0 is a Wi‑Fi technology standard that enables seamless, secure, and automatic connection to wireless networks without the need for manual logins or captive portals.
  • D. Hot Spot
    "Hot Spot" is a song by the Boston rock band The Taxi Boys.
  • E. Hot Spot
    Hot Spot is a fast-paced keno-style draw game offered by the California State Lottery where players pick numbers for frequent drawings with varying prize levels.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43320bf881909f97a235451bb3a4 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc944439488190b95788e3a77ee732 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.