Triple

T4031570
Position Surface form Disambiguated ID Type / Status
Subject PROF E83723 entity
Predicate hasAcronym P43 FINISHED
Object PROF E83723 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: PROF | Statement: [PROF, hasAcronym, PROF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PROF
Context triple: [PROF, hasAcronym, PROF]
  • A. PROF chosen
    PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
  • B. Proz
    Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
  • C. Pol
    Pol is a given name and variant of Paul, used in several European languages such as Catalan and French.
  • D. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • E. Prostki
    Prostki is a village in northeastern Poland, known for its historical significance and location within the Warmian-Masurian Voivodeship.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb0dbb8481909ff2ee49dadcd1dc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5563b6d8c8190862597ea39b56de1 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.