Triple

T18003002
Position Surface form Disambiguated ID Type / Status
Subject Daraga E430673 entity
Predicate hasAlternateName P39 FINISHED
Object Locsin
Locsin is an alternate name for the municipality of Daraga in Albay province, Philippines.
E1300287 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: Locsin | Statement: [Daraga, hasAlternateName, Locsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Locsin
Context triple: [Daraga, hasAlternateName, Locsin]
  • A. Delisi
    Delisi is a metro station in Tbilisi, Georgia, serving as one of the stops on the city’s rapid transit network.
  • B. Fosite
    Fosite is a deity from Frisian and Germanic mythology, often associated with justice, law, and sacred waters, and closely related to the Norse god Forseti.
  • C. Vilamarxant
    Vilamarxant is a municipality in the province of Valencia, Spain, known for its rural landscapes and proximity to the Turia River.
  • D. Singulair
    Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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: Locsin
Triple: [Daraga, hasAlternateName, Locsin]
Generated description
Locsin is an alternate name for the municipality of Daraga in Albay province, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Locsin
Target entity description: Locsin is an alternate name for the municipality of Daraga in Albay province, Philippines.
  • A. Delisi
    Delisi is a metro station in Tbilisi, Georgia, serving as one of the stops on the city’s rapid transit network.
  • B. Fosite
    Fosite is a deity from Frisian and Germanic mythology, often associated with justice, law, and sacred waters, and closely related to the Norse god Forseti.
  • C. Vilamarxant
    Vilamarxant is a municipality in the province of Valencia, Spain, known for its rural landscapes and proximity to the Turia River.
  • D. Singulair
    Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3ea60608190b977644e946407b7 completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337b6b7e48190a649dda888450b2d completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca755e08190aa5003164b49f196 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d7a601c8190a4746adfdfffbca8 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.