Triple

T14801012
Position Surface form Disambiguated ID Type / Status
Subject Bathari E347908 entity
Predicate ISO639-3Code P208 FINISHED
Object bhm
bhm is the ISO 639-3 language code assigned to the Bathari language, a critically endangered Modern South Arabian language spoken in Oman.
 E1120779 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: bhm | Statement: [Bathari, ISO639-3Code, bhm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: bhm
Context triple: [Bathari, ISO639-3Code, bhm]
  • A. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • B. BHM
    BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
  • C. BHM
    BHM is the three-letter IATA airport code for Birmingham–Shuttlesworth International Airport serving Birmingham, Alabama.
  • D. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • E. BH
    BH is the vehicle registration code assigned to motor vehicles registered in Bhola District, Bangladesh.
  • 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: bhm
Triple: [Bathari, ISO639-3Code, bhm]
Generated description
bhm is the ISO 639-3 language code assigned to the Bathari language, a critically endangered Modern South Arabian language spoken in Oman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: bhm
Target entity description: bhm is the ISO 639-3 language code assigned to the Bathari language, a critically endangered Modern South Arabian language spoken in Oman.
  • A. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • B. BHM
    BHM is the three-letter National Rail station code for Birmingham New Street, the main railway hub in Birmingham, England.
  • C. BHM
    BHM is the three-letter IATA airport code for Birmingham–Shuttlesworth International Airport serving Birmingham, Alabama.
  • D. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • E. BH
    BH is the vehicle registration code assigned to motor vehicles registered in Bhola District, Bangladesh.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd62c36c81909c2993dc7d1a79ea completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c4f690819087504fcfd2df8ba3 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe264b234881909903ebfc1039ec72 completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26ca706881908fe0da780bd9f691 completed May 8, 2026, 6:09 p.m.
Created at: April 10, 2026, 1:31 a.m.