Triple

T13057576
Position Surface form Disambiguated ID Type / Status
Subject Northern Leyte E327617 entity
Predicate containsCity P294 FINISHED
Object Dagami
Dagami is a municipality in the province of Leyte in the Philippines, known for its agricultural economy and traditional rice-based delicacies.
 E1018464 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: Dagami | Statement: [Northern Leyte, containsCity, Dagami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dagami
Context triple: [Northern Leyte, containsCity, Dagami]
  • A. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • B. Makhai
    Makhai are personified spirits of battle and combat in Greek mythology, often associated with the chaos and violence of war.
  • C. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • D. Ofunato
    Ofunato is a coastal city in northeastern Japan known for its fishing industry and the severe damage it suffered during the 2011 Tōhoku earthquake and tsunami.
  • E. Odo-Ya
    "Odo-Ya" is a song featured on the soundtrack album for Disney's animated film "Encanto."
  • 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: Dagami
Triple: [Northern Leyte, containsCity, Dagami]
Generated description
Dagami is a municipality in the province of Leyte in the Philippines, known for its agricultural economy and traditional rice-based delicacies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dagami
Target entity description: Dagami is a municipality in the province of Leyte in the Philippines, known for its agricultural economy and traditional rice-based delicacies.
  • A. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • B. Makhai
    Makhai are personified spirits of battle and combat in Greek mythology, often associated with the chaos and violence of war.
  • C. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • D. Ofunato
    Ofunato is a coastal city in northeastern Japan known for its fishing industry and the severe damage it suffered during the 2011 Tōhoku earthquake and tsunami.
  • E. Odo-Ya
    "Odo-Ya" is a song featured on the soundtrack album for Disney's animated film "Encanto."
  • 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.