Triple

T5407926
Position Surface form Disambiguated ID Type / Status
Subject SOM I E120938 entity
Predicate partOfSeries P1761 FINISHED
Object SOM series
SOM series is a sequence of related works collectively titled "SOM," encompassing multiple installments such as SOM I.
 E120938 NE FINISHED

How this triple was built (4 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 series | Statement: [SOM I, partOfSeries, SOM series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOM series
Context triple: [SOM I, partOfSeries, SOM series]
  • A. SOM
    SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
  • B. SOM II
    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.
  • C. SOM I
    SOM I is the first installment in the SOM series, serving as the initial part that precedes SOM II.
  • D. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • E. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SOM series
Triple: [SOM I, partOfSeries, SOM series]
Generated description
SOM series is a sequence of related works collectively titled "SOM," encompassing multiple installments such as SOM I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOM series
Target entity description: SOM series is a sequence of related works collectively titled "SOM," encompassing multiple installments such as SOM I.
  • A. SOM
    SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
  • B. SOM II
    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.
  • C. SOM I chosen
    SOM I is the first installment in the SOM series, serving as the initial part that precedes SOM II.
  • D. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • E. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • F. None of above.

Provenance (5 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.
NEDg Description generation batch_69bf345c91588190aea6e50de902b1d2 completed March 22, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_69bf34d20d54819086349a656923f6e9 completed March 22, 2026, 12:16 a.m.
Created at: March 20, 2026, 2:05 p.m.