Triple

T16996203
Position Surface form Disambiguated ID Type / Status
Subject Setra E412320 entity
Predicate competitor P1375 FINISHED
Object MAN E37749 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: MAN | Statement: [Setra, competitor, MAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAN
Context triple: [Setra, competitor, MAN]
  • A. MAN chosen
    MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
  • B. MAN
    MAN is the stock ticker symbol under which ManpowerGroup Inc., a major global workforce solutions and staffing company, is publicly traded.
  • C. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • D. Man
    Man was a prominent British anthropological journal that served as the main publication of the Royal Anthropological Institute before being continued under a new title.
  • E. Man
    Man is a 1996 studio album by Swedish singer-songwriter Neneh Cherry that blends pop, trip hop, and alternative influences and features her hit single "Woman."
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d2879af081909665f9f838bcfbe7 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc18e6988190b42b3d251cf00b98 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.