Triple

T13662021
Position Surface form Disambiguated ID Type / Status
Subject Bughotu E327020 entity
Predicate glottologCode P3086 FINISHED
Object bugh1237
bugh1237 is the Glottolog code designating the Bughotu language, an Oceanic language spoken in the Solomon Islands.
 E1053990 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: bugh1237 | Statement: [Bughotu, glottologCode, bugh1237]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: bugh1237
Context triple: [Bughotu, glottologCode, bugh1237]
  • A. Buglere
    Buglere is an indigenous language spoken by the Buglere people of Panama, belonging to the Chibchan language family.
  • B. bugueño
    A bugueño is a resident or native of Guadalajara de Buga, a historic city in the Valle del Cauca department of Colombia.
  • C. Buhd
    Buhd is the ISO 15924 script code for the Buhid script used to write the Buhid language of the Philippines.
  • D. BoG
    BoG is the central bank of Guyana, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • E. Bugulma
    Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
  • 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: bugh1237
Triple: [Bughotu, glottologCode, bugh1237]
Generated description
bugh1237 is the Glottolog code designating the Bughotu language, an Oceanic language spoken in the Solomon Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: bugh1237
Target entity description: bugh1237 is the Glottolog code designating the Bughotu language, an Oceanic language spoken in the Solomon Islands.
  • A. Buglere
    Buglere is an indigenous language spoken by the Buglere people of Panama, belonging to the Chibchan language family.
  • B. bugueño
    A bugueño is a resident or native of Guadalajara de Buga, a historic city in the Valle del Cauca department of Colombia.
  • C. Buhd
    Buhd is the ISO 15924 script code for the Buhid script used to write the Buhid language of the Philippines.
  • D. BoG
    BoG is the central bank of Guyana, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • E. Bugulma
    Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b08d27c8190badc612c26423c0e completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78fd0d29481908bd44bda28e3b2c1 completed May 3, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7908d92e08190918525c59cb37b55 completed May 3, 2026, 6:14 p.m.
Created at: April 9, 2026, 9:52 p.m.