Triple

T2659530
Position Surface form Disambiguated ID Type / Status
Subject Sultan Kudarat E54692 entity
Predicate hasMunicipality P847 FINISHED
Object Lebak
Lebak is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and fishing communities.
E285581 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: Lebak | Statement: [Sultan Kudarat, hasMunicipality, Lebak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebak
Context triple: [Sultan Kudarat, hasMunicipality, Lebak]
  • A. Lebak Regency
    Lebak Regency is an administrative region in Banten Province on the island of Java, Indonesia, known for its rural landscapes and as the homeland of the indigenous Baduy people.
  • B. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • C. Sukabumi
    Sukabumi is a city in southwestern West Java, Indonesia, known for its cool climate, surrounding highlands, and proximity to popular natural attractions.
  • D. Tangerang
    Tangerang is a major urban and industrial city in Indonesia located just west of Jakarta on the island of Java.
  • E. Garut
    Garut is a regency and town in West Java, Indonesia, known for its Sundanese culture, cool highland climate, and agricultural products such as vegetables and sheep.
  • 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: Lebak
Triple: [Sultan Kudarat, hasMunicipality, Lebak]
Generated description
Lebak is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and fishing communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lebak
Target entity description: Lebak is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and fishing communities.
  • A. Lebak Regency
    Lebak Regency is an administrative region in Banten Province on the island of Java, Indonesia, known for its rural landscapes and as the homeland of the indigenous Baduy people.
  • B. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • C. Sukabumi
    Sukabumi is a city in southwestern West Java, Indonesia, known for its cool climate, surrounding highlands, and proximity to popular natural attractions.
  • D. Tangerang
    Tangerang is a major urban and industrial city in Indonesia located just west of Jakarta on the island of Java.
  • E. Garut
    Garut is a regency and town in West Java, Indonesia, known for its Sundanese culture, cool highland climate, and agricultural products such as vegetables and sheep.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94f3b1881909bd36cfe61c254a5 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d765c48190a227137467b7dbe1 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9952a95881908d01aa13f5feef43 completed March 10, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69af99e68f10819094d758d3a4bc2e9c completed March 10, 2026, 4:11 a.m.
Created at: March 6, 2026, 9:53 p.m.