Triple

T10670517
Position Surface form Disambiguated ID Type / Status
Subject Yakan people E251472 entity
Predicate ethnologueCode P5197 FINISHED
Object yka
yka is the ISO 639-3 language code for the Yakan language spoken by the Yakan people of the southern Philippines.
 E879548 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: yka | Statement: [Yakan people, ethnologueCode, yka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: yka
Context triple: [Yakan people, ethnologueCode, yka]
  • A. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • B. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • C. KYA
    KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
  • D. kazy
    Kazy is a traditional Kazakh sausage made from horse meat and fat, typically seasoned and air-dried, and served as a festive delicacy.
  • E. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • 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: yka
Triple: [Yakan people, ethnologueCode, yka]
Generated description
yka is the ISO 639-3 language code for the Yakan language spoken by the Yakan people of the southern Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: yka
Target entity description: yka is the ISO 639-3 language code for the Yakan language spoken by the Yakan people of the southern Philippines.
  • A. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • B. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • C. KYA
    KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
  • D. kazy
    Kazy is a traditional Kazakh sausage made from horse meat and fat, typically seasoned and air-dried, and served as a festive delicacy.
  • E. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f86390648190851693aedce6b7ad completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98865f700819093c8cadc6fcef75f completed April 10, 2026, 11:31 p.m.
NEDg Description generation batch_69d98ae8403c81908a229aa06bd0388a completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98ce9ba0c8190a7c62fa670e23705 completed April 10, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:09 p.m.