Triple

T17296356
Position Surface form Disambiguated ID Type / Status
Subject Columbia, Maryland E419920 entity
Predicate hasPart P35 FINISHED
Object Dorsey Search E936126 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: Dorsey Search | Statement: [Columbia, Maryland, hasPart, Dorsey Search]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorsey Search
Context triple: [Columbia, Maryland, hasPart, Dorsey Search]
  • A. Dorsey’s Search chosen
    Dorsey’s Search is a residential village within the planned community of Columbia, Maryland, known for its suburban neighborhoods, schools, and local amenities.
  • B. Dorsey
    Dorsey is the surname of Jack Dorsey, the American technology entrepreneur best known as a co-founder and former CEO of Twitter.
  • C. DORIS
    DORIS is a French-developed satellite tracking system that uses ground beacons to precisely determine satellite orbits and support high-accuracy geodesy and Earth observation.
  • D. DORIS
    DORIS was a particle accelerator and storage ring at the DESY research center in Hamburg, Germany, used primarily for high-energy physics and later as a synchrotron radiation source.
  • E. Michael Dorsey
    Michael Dorsey is the struggling, perfectionist New York actor who disguises himself as a woman to land a soap-opera role in the 1982 film "Tootsie."
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437881d688190a633beacba6bc0ae completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d881ec81908e794143d355effe completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.