Triple

T3754904
Position Surface form Disambiguated ID Type / Status
Subject Sambal language E82021 entity
Predicate hasAlternativeName P39 FINISHED
Object Zambal language
Zambal language is an Austronesian language spoken by the Sambal people primarily in the Zambales region of the Philippines.
 E385611 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: Zambal language | Statement: [Sambal language, hasAlternativeName, Zambal language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zambal language
Context triple: [Sambal language, hasAlternativeName, Zambal language]
  • A. Zabana language
    The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
  • B. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • C. Kumzari language
    The Kumzari language is an endangered Southwestern Iranian language spoken primarily by the Kumzari people in the Musandam Peninsula of Oman.
  • D. Kalasha language
    The Kalasha language is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of Chitral District in northern Pakistan.
  • E. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • 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: Zambal language
Triple: [Sambal language, hasAlternativeName, Zambal language]
Generated description
Zambal language is an Austronesian language spoken by the Sambal people primarily in the Zambales region of the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zambal language
Target entity description: Zambal language is an Austronesian language spoken by the Sambal people primarily in the Zambales region of the Philippines.
  • A. Zabana language
    The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
  • B. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • C. Kumzari language
    The Kumzari language is an endangered Southwestern Iranian language spoken primarily by the Kumzari people in the Musandam Peninsula of Oman.
  • D. Kalasha language
    The Kalasha language is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of Chitral District in northern Pakistan.
  • E. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb94ffc08190a7fd1ce71a15f787 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e50825588190b620950ac1d4f408 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e5cd3b3c8190af6ca28a6772625c completed March 14, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69b4e671e02c819094cae2a3a2abb1b4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:35 p.m.