Triple

T2686489
Position Surface form Disambiguated ID Type / Status
Subject South Cotabato E57495 entity
Predicate hasMunicipality P847 FINISHED
Object Alabel
Alabel is a municipality in the Philippines known as the capital town of the province of Sarangani in the Soccsksargen region of Mindanao.
 E288639 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: Alabel | Statement: [South Cotabato, hasMunicipality, Alabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alabel
Context triple: [South Cotabato, hasMunicipality, Alabel]
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Aba
    Aba is a major commercial and industrial city in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
  • C. Aba
    Aba is a small town in central Hungary located within Fejér County, known for its rural character and agricultural surroundings.
  • D. Ala
    Ala is the Igbo earth goddess and principal deity of morality, fertility, and the underworld in traditional Igbo religion.
  • E. Abella
    Abella was an ancient town in Campania, Italy, known from Roman-era inscriptions and archaeological remains.
  • 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: Alabel
Triple: [South Cotabato, hasMunicipality, Alabel]
Generated description
Alabel is a municipality in the Philippines known as the capital town of the province of Sarangani in the Soccsksargen region of Mindanao.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alabel
Target entity description: Alabel is a municipality in the Philippines known as the capital town of the province of Sarangani in the Soccsksargen region of Mindanao.
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Aba
    Aba is a major commercial and industrial city in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
  • C. Aba
    Aba is a small town in central Hungary located within Fejér County, known for its rural character and agricultural surroundings.
  • D. Ala
    Ala is the Igbo earth goddess and principal deity of morality, fertility, and the underworld in traditional Igbo religion.
  • E. Abella
    Abella was an ancient town in Campania, Italy, known from Roman-era inscriptions and archaeological remains.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9ef2fe0819082bbe746ca682a7e completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa07228088190bb4942b3a25c938b completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa0ff9c10819096d06ead6dc87d04 completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1e4ffb08190a6d96665ee566ea7 completed March 10, 2026, 4:45 a.m.
Created at: March 6, 2026, 9:54 p.m.