Triple

T3199629
Position Surface form Disambiguated ID Type / Status
Subject Philippine languages E67018 entity
Predicate includesLanguage P2177 FINISHED
Object Itawit
Itawit is an Austronesian language spoken by the Itawit people primarily in the Cagayan Valley region of northern Luzon in the Philippines.
 E336294 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: Itawit | Statement: [Philippine languages, includesLanguage, Itawit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Itawit
Context triple: [Philippine languages, includesLanguage, Itawit]
  • A. Tagbanwa
    Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
  • B. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • C. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • D. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • E. Tamahaq
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • 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: Itawit
Triple: [Philippine languages, includesLanguage, Itawit]
Generated description
Itawit is an Austronesian language spoken by the Itawit people primarily in the Cagayan Valley region of northern Luzon in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Itawit
Target entity description: Itawit is an Austronesian language spoken by the Itawit people primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • A. Tagbanwa
    Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
  • B. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • C. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • D. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • E. Tamahaq
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9ad4b1c8190bc6ad0f025f238c8 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bbdc9908190b5d8328f6fbc6002 completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b25034bc4481909c860099cc1aa311 completed March 12, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_69b251458ab48190a374f910103763f2 completed March 12, 2026, 5:38 a.m.
Created at: March 8, 2026, 3:07 p.m.