Triple

T5407928
Position Surface form Disambiguated ID Type / Status
Subject SOM I E120938 entity
Predicate followedBy P78 FINISHED
Object SOM II E22644 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: SOM II | Statement: [SOM I, followedBy, SOM II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SOM II
Context triple: [SOM I, followedBy, SOM II]
  • A. SOM II chosen
    SOM II is the second session in a series of high-level Senior Officials' Meetings where government representatives coordinate and prepare policy and agenda items for ministerial or leaders’ summits.
  • B. SOM I
    SOM I is the first installment in the SOM series, serving as the initial part that precedes SOM II.
  • C. SOM
    SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
  • D. SoMa
    SoMa is a large, formerly industrial neighborhood in San Francisco known for its tech offices, lofts, nightlife, and cultural institutions.
  • E. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8793ab3c81909992b257d462a554 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf33990f248190841493f0720aa8ee completed March 22, 2026, 12:11 a.m.
Created at: March 20, 2026, 2:05 p.m.