Triple

T13057572
Position Surface form Disambiguated ID Type / Status
Subject Northern Leyte E327617 entity
Predicate containsCity P294 FINISHED
Object Alangalang
Alangalang is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known primarily as an agricultural town.
 E1018462 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: Alangalang | Statement: [Northern Leyte, containsCity, Alangalang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alangalang
Context triple: [Northern Leyte, containsCity, Alangalang]
  • A. Alang
    Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
  • B. Talaandig
    The Talaandig are an indigenous Manobo subgroup in the Philippines known for their rich oral traditions, music, and rituals rooted in ancestral land and forest stewardship.
  • C. Alukuyana
    Alukuyana is an alternative name for the Wayana language, an indigenous Cariban language spoken in parts of Brazil, Suriname, and French Guiana.
  • D. Alinghi
    Alinghi is a Swiss sailing team best known for winning and later defending the America's Cup in the early 2000s.
  • E. Alagwa
    Alagwa is a Cushitic language spoken by the Alagwa people of north-central Tanzania.
  • 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: Alangalang
Triple: [Northern Leyte, containsCity, Alangalang]
Generated description
Alangalang is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known primarily as an agricultural town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alangalang
Target entity description: Alangalang is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known primarily as an agricultural town.
  • A. Alang
    Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
  • B. Talaandig
    The Talaandig are an indigenous Manobo subgroup in the Philippines known for their rich oral traditions, music, and rituals rooted in ancestral land and forest stewardship.
  • C. Alukuyana
    Alukuyana is an alternative name for the Wayana language, an indigenous Cariban language spoken in parts of Brazil, Suriname, and French Guiana.
  • D. Alinghi
    Alinghi is a Swiss sailing team best known for winning and later defending the America's Cup in the early 2000s.
  • E. Alagwa
    Alagwa is a Cushitic language spoken by the Alagwa people of north-central Tanzania.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe0bf3081909ff498ac66cb2aa6 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0e88e08190a07468336bb624f0 completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:58 p.m.