Triple

T1078899
Position Surface form Disambiguated ID Type / Status
Subject Old Frisian E23900 entity
Predicate ISO639-3 P208 FINISHED
Object ofs
ofs is the ISO 639-3 language code for Old Frisian, a historical West Germanic language once spoken in parts of the coastal Netherlands and Germany.
 E124852 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: ofs | Statement: [Old Frisian, ISO639-3, ofs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ofs
Context triple: [Old Frisian, ISO639-3, ofs]
  • A. ulos
    Ulos is a handwoven ceremonial textile central to Batak culture in North Sumatra, Indonesia, symbolizing blessings, social status, and kinship ties.
  • B. oci
    oci is the ISO 639-2 code for Occitan, a Romance language spoken primarily in southern France and parts of Italy and Spain.
  • C. OC
    OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
  • D. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • E. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • 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: ofs
Triple: [Old Frisian, ISO639-3, ofs]
Generated description
ofs is the ISO 639-3 language code for Old Frisian, a historical West Germanic language once spoken in parts of the coastal Netherlands and Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ofs
Target entity description: ofs is the ISO 639-3 language code for Old Frisian, a historical West Germanic language once spoken in parts of the coastal Netherlands and Germany.
  • A. ulos
    Ulos is a handwoven ceremonial textile central to Batak culture in North Sumatra, Indonesia, symbolizing blessings, social status, and kinship ties.
  • B. oci
    oci is the ISO 639-2 code for Occitan, a Romance language spoken primarily in southern France and parts of Italy and Spain.
  • C. OC
    OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
  • D. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • E. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b943b41481909b24050ca7e78971 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42addb188190a26dd3071abf64d6 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac432a8a9881908c1199f7974e1491 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43a2a294819095cf58c39118389f completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.