Triple

T12386848
Position Surface form Disambiguated ID Type / Status
Subject Maitum E295887 entity
Predicate hasBarangay P29835 FINISHED
Object Katiaan
Katiaan is a rural barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
 E979451 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: Katiaan | Statement: [Maitum, hasBarangay, Katiaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katiaan
Context triple: [Maitum, hasBarangay, Katiaan]
  • A. Kati
    Kati is an Indo-Iranian Nuristani ethnic group and language community native to the mountainous Nuristan region of eastern Afghanistan.
  • B. Kati
    Kati is a common Hungarian diminutive form of the female given name Katalin, similar to "Katie" for "Katherine" in English.
  • C. Kaja
    Kaja is a diminutive or nickname commonly used for the given name Katarina.
  • D. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • E. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • 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: Katiaan
Triple: [Maitum, hasBarangay, Katiaan]
Generated description
Katiaan is a rural barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katiaan
Target entity description: Katiaan is a rural barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • A. Kati
    Kati is an Indo-Iranian Nuristani ethnic group and language community native to the mountainous Nuristan region of eastern Afghanistan.
  • B. Kati
    Kati is a common Hungarian diminutive form of the female given name Katalin, similar to "Katie" for "Katherine" in English.
  • C. Kaja
    Kaja is a diminutive or nickname commonly used for the given name Katarina.
  • D. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • E. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac939bc819081629b9eef20c4e7 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62c7b28588190839c35c19856d16f completed May 2, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_69f62e403a308190a2bba3fefc420932 completed May 2, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:54 p.m.