Triple

T14192943
Position Surface form Disambiguated ID Type / Status
Subject Upper Yafa E351757 entity
Predicate partOf P40 FINISHED
Object Yafa
Yafa is a historical region and tribal area in southern Yemen, known for its mountainous terrain and distinct cultural identity.
E1085225 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: Yafa | Statement: [Upper Yafa, partOf, Yafa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yafa
Context triple: [Upper Yafa, partOf, Yafa]
  • A. Al Fayha
    Al Fayha is a professional football club based in Al Majma'ah, Saudi Arabia, competing in the Saudi Pro League.
  • B. Safa
    Safa is a principal deity in the Uatsdin (Assian) neo-pagan religious tradition, revered within the reconstructed Ossetian pantheon.
  • C. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • D. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • E. Felahiye
    Felahiye is a small district and town in central Turkey known for its rural character within the Kayseri 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: Yafa
Triple: [Upper Yafa, partOf, Yafa]
Generated description
Yafa is a historical region and tribal area in southern Yemen, known for its mountainous terrain and distinct cultural identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yafa
Target entity description: Yafa is a historical region and tribal area in southern Yemen, known for its mountainous terrain and distinct cultural identity.
  • A. Al Fayha
    Al Fayha is a professional football club based in Al Majma'ah, Saudi Arabia, competing in the Saudi Pro League.
  • B. Safa
    Safa is a principal deity in the Uatsdin (Assian) neo-pagan religious tradition, revered within the reconstructed Ossetian pantheon.
  • C. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • D. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • E. Felahiye
    Felahiye is a small district and town in central Turkey known for its rural character within the Kayseri 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1b2ace9c8190a7458e5c43a3c3d6 completed May 7, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fd1c61b994819081dcc92ae33772ed completed May 7, 2026, 11:12 p.m.
Created at: April 10, 2026, 1:04 a.m.