Triple

T4639107
Position Surface form Disambiguated ID Type / Status
Subject Maranao E101607 entity
Predicate traditionalDance P1114 FINISHED
Object singkil
Singkil is a famous Maranao epic-based dance from the Philippines that features intricate footwork among bamboo poles and elaborate royal costumes.
 E456783 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: singkil | Statement: [Maranao, traditionalDance, singkil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: singkil
Context triple: [Maranao, traditionalDance, singkil]
  • A. songkok
    A songkok is a traditional brimless cap commonly worn by Malay men in Southeast Asia, especially for formal, cultural, and religious occasions.
  • B. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • C. Jonggring Saloko
    Jonggring Saloko is the active summit crater of Mount Semeru, Indonesia’s highest volcano on Java, known for its frequent eruptions and volcanic activity.
  • D. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • E. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • 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: singkil
Triple: [Maranao, traditionalDance, singkil]
Generated description
Singkil is a famous Maranao epic-based dance from the Philippines that features intricate footwork among bamboo poles and elaborate royal costumes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: singkil
Target entity description: Singkil is a famous Maranao epic-based dance from the Philippines that features intricate footwork among bamboo poles and elaborate royal costumes.
  • A. songkok
    A songkok is a traditional brimless cap commonly worn by Malay men in Southeast Asia, especially for formal, cultural, and religious occasions.
  • B. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • C. Jonggring Saloko
    Jonggring Saloko is the active summit crater of Mount Semeru, Indonesia’s highest volcano on Java, known for its frequent eruptions and volcanic activity.
  • D. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • E. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a8e0ee88190becab97d2ef1571a completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacf3cb08190a080e5ed1063902f completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb70b9d48190a32c5cc753c45aab completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc54e194819080b1eb5b9f0dfe9e completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:13 p.m.