Triple

T612259
Position Surface form Disambiguated ID Type / Status
Subject Hyde Street Pier E12123 entity
Predicate hasShipOnExhibit P4908 FINISHED
Object Alma E53488 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: Alma | Statement: [Hyde Street Pier, hasShipOnExhibit, Alma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alma
Context triple: [Hyde Street Pier, hasShipOnExhibit, Alma]
  • A. Alma chosen
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • B. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • C. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • D. Zora
    Zora is a feminine given name most famously associated with the African-American author and anthropologist Zora Neale Hurston.
  • E. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a514b514819088e7b6b7e4675905 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654d19b108190a4777dce9def7579 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:35 p.m.