Triple

T5481604
Position Surface form Disambiguated ID Type / Status
Subject oneM2M E123477 entity
Predicate hasMember P10 FINISHED
Object OMA SpecWorks
OMA SpecWorks is a standards development organization that creates open, interoperable specifications for mobile and IoT services and device management.
 E523134 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: OMA SpecWorks | Statement: [oneM2M, hasMember, OMA SpecWorks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OMA SpecWorks
Context triple: [oneM2M, hasMember, OMA SpecWorks]
  • A. OMA
    OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
  • B. OMA
    OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
  • C. OMA
    OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
  • D. SOM
    SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
  • E. Office for Metropolitan Architecture
    The Office for Metropolitan Architecture (OMA) is a renowned international architecture firm founded by Rem Koolhaas, known for its innovative, experimental designs and influential contributions to contemporary urbanism and architectural theory.
  • 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: OMA SpecWorks
Triple: [oneM2M, hasMember, OMA SpecWorks]
Generated description
OMA SpecWorks is a standards development organization that creates open, interoperable specifications for mobile and IoT services and device management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OMA SpecWorks
Target entity description: OMA SpecWorks is a standards development organization that creates open, interoperable specifications for mobile and IoT services and device management.
  • A. OMA
    OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
  • B. OMA
    OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
  • C. OMA
    OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
  • D. SOM
    SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
  • E. Office for Metropolitan Architecture
    The Office for Metropolitan Architecture (OMA) is a renowned international architecture firm founded by Rem Koolhaas, known for its innovative, experimental designs and influential contributions to contemporary urbanism and architectural theory.
  • F. None of above. chosen

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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd924a2eb08190b759b23a6eab5e0a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4a95375881909ba730ad108eee8b completed March 22, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_69bf4afb47a88190a66de6b6c7d5c241 completed March 22, 2026, 1:50 a.m.
Created at: March 20, 2026, 2:09 p.m.