Triple

T3009392
Position Surface form Disambiguated ID Type / Status
Subject UFOs E81980 entity
Predicate alsoKnownAs P39 FINISHED
Object UAP E311284 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: UAP | Statement: [UFOs, alsoKnownAs, UAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UAP
Context triple: [UFOs, alsoKnownAs, UAP]
  • A. UAP chosen
    UAP is a Polish public art university in Poznań known for its programs in fine arts, design, and related creative disciplines.
  • B. UFOs
    UFOs (Unidentified Flying Objects) are aerial phenomena that observers cannot immediately identify, often associated with extraterrestrial spacecraft in popular culture and scientific speculation.
  • C. UNOV
    UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
  • D. UFO Bridge
    UFO Bridge is a distinctive modern suspension bridge in Bratislava, Slovakia, notable for its futuristic UFO-shaped observation deck and restaurant atop a single pylon spanning the Danube River.
  • E. SCP
    SCP is a secure file transfer client that supports encrypted protocols like SFTP and FTPS for safely uploading and managing files on remote servers.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4ccbf08190a7580c9e758804d0 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5f612c8190824deb0813a9f981 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.