Triple

T23122961
Position Surface form Disambiguated ID Type / Status
Subject Tgdaya Seediq E576949 entity
Predicate hasDialectGroup P1254 FINISHED
Object Tgdaya
Tgdaya is a dialect group of the Seediq language spoken by the Seediq indigenous people of Taiwan.
 E576949 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: Tgdaya | Statement: [Tgdaya Seediq, hasDialectGroup, Tgdaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tgdaya
Context triple: [Tgdaya Seediq, hasDialectGroup, Tgdaya]
  • A. Tgdaya Seediq
    Tgdaya Seediq is a major dialect of the Seediq language spoken by the Seediq indigenous people of central Taiwan.
  • B. Talaytay
    Talaytay is a barangay (village-level administrative division) of the municipality of Argao in the province of Cebu, Philippines.
  • C. Hanunoo
    Hanunoo is an indigenous Philippine script traditionally used by the Hanunó'o Mangyan people of Mindoro to write their Austronesian language.
  • D. Sekadau
    Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
  • E. Tohjaya
    Tohjaya was a 13th-century Javanese ruler who briefly held the throne of the Singhasari kingdom following a period of dynastic conflict.
  • 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: Tgdaya
Triple: [Tgdaya Seediq, hasDialectGroup, Tgdaya]
Generated description
Tgdaya is a dialect group of the Seediq language spoken by the Seediq indigenous people of Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tgdaya
Target entity description: Tgdaya is a dialect group of the Seediq language spoken by the Seediq indigenous people of Taiwan.
  • A. Tgdaya Seediq chosen
    Tgdaya Seediq is a major dialect of the Seediq language spoken by the Seediq indigenous people of central Taiwan.
  • B. Talaytay
    Talaytay is a barangay (village-level administrative division) of the municipality of Argao in the province of Cebu, Philippines.
  • C. Hanunoo
    Hanunoo is an indigenous Philippine script traditionally used by the Hanunó'o Mangyan people of Mindoro to write their Austronesian language.
  • D. Sekadau
    Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
  • E. Tohjaya
    Tohjaya was a 13th-century Javanese ruler who briefly held the throne of the Singhasari kingdom following a period of dynastic conflict.
  • F. None of above.

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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e517a0481909829a73fdf255d1c completed April 29, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308583d481908c7a750fd7fba044 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c378c36cc8190b4470dceb62f99ad completed May 19, 2026, 10:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0c387daf6481909cd5f3cc19636575 completed May 19, 2026, 10:16 a.m.
Created at: April 17, 2026, 3:59 p.m.