Triple

T14969799
Position Surface form Disambiguated ID Type / Status
Subject Argao E373285 entity
Predicate hasBarangay P29835 FINISHED
Object Guiwanon
Guiwanon is a coastal barangay (village-level administrative division) of the municipality of Argao in Cebu, Philippines.
E1129965 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: Guiwanon | Statement: [Argao, hasBarangay, Guiwanon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guiwanon
Context triple: [Argao, hasBarangay, Guiwanon]
  • A. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • B. Wajin
    Wajin is a historical term used in East Asia to refer to the ethnic Japanese people, particularly those of the Yamato cultural and political core.
  • C. Yotowawa
    Yotowawa is an alternative name for the Kisar language, an Austronesian language spoken on Kisar Island in Indonesia.
  • D. Wansin
    Wansin is a village in the municipality of Hannut in the province of Liège, Belgium.
  • E. Wintuan
    Wintuan is a small group of Native American languages historically spoken in northern California, often classified within the proposed Penutian language phylum.
  • 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: Guiwanon
Triple: [Argao, hasBarangay, Guiwanon]
Generated description
Guiwanon is a coastal barangay (village-level administrative division) of the municipality of Argao in Cebu, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guiwanon
Target entity description: Guiwanon is a coastal barangay (village-level administrative division) of the municipality of Argao in Cebu, Philippines.
  • A. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • B. Wajin
    Wajin is a historical term used in East Asia to refer to the ethnic Japanese people, particularly those of the Yamato cultural and political core.
  • C. Yotowawa
    Yotowawa is an alternative name for the Kisar language, an Austronesian language spoken on Kisar Island in Indonesia.
  • D. Wansin
    Wansin is a village in the municipality of Hannut in the province of Liège, Belgium.
  • E. Wintuan
    Wintuan is a small group of Native American languages historically spoken in northern California, often classified within the proposed Penutian language phylum.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be6ce68819099f841d83c6ca33d completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8e512adc8190a1cf47f1713a968f completed May 9, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69fe8ec3d718819098629558bc007496 completed May 9, 2026, 1:32 a.m.
Created at: April 10, 2026, 2:49 a.m.