Triple

T9645342
Position Surface form Disambiguated ID Type / Status
Subject Port Said Airport E233178 entity
Predicate pushpinLabel P9248 FINISHED
Object PSD E618922 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: PSD | Statement: [Port Said Airport, pushpinLabel, PSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PSD
Context triple: [Port Said Airport, pushpinLabel, PSD]
  • A. PSD
    PSD is a major center-left political party in Romania that has played a dominant role in the country’s post-communist politics.
  • B. PSD chosen
    PSD is Adobe Photoshop’s native layered image file format, widely used in professional graphic design and photo editing for preserving complex edits and high-quality visual data.
  • C. PSD
    PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
  • D. PSF
    PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
  • E. PNG
    PNG (Portable Network Graphics) is a widely used raster image format known for its lossless compression and support for transparency, commonly used for web graphics and digital images.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7fd2308190803a196ecdc80d76 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a00a87081909d1e59aa7192a69c completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:12 p.m.