Triple

T10040197
Position Surface form Disambiguated ID Type / Status
Subject Handwritten E205274 entity
Predicate hasTrack P3284 FINISHED
Object Mae E336606 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: Mae | Statement: [Handwritten, hasTrack, Mae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mae
Context triple: [Handwritten, hasTrack, Mae]
  • A. Mae chosen
    Mae is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • B. Mae
    Mae is the given name of Maeby Fünke, a fictional character from the television series "Arrested Development."
  • C. Mere
    Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
  • D. Mau
    Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
  • E. Meis
    Meis is the Turkish name for Kastellorizo, a small Greek island in the eastern Mediterranean near the Turkish coast.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee186708190bc9fecd637b4f7e6 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2827064108190b9079717a4eb98d6 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.