Triple

T18003102
Position Surface form Disambiguated ID Type / Status
Subject Isabela Province E430675 entity
Predicate hasMunicipality P847 FINISHED
Object Naguilian
Naguilian is a rural municipality in the Philippine province of Isabela known for its agricultural economy and small-town character.
E1300298 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: Naguilian | Statement: [Isabela Province, hasMunicipality, Naguilian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naguilian
Context triple: [Isabela Province, hasMunicipality, Naguilian]
  • A. Kamassian
    Kamassian is an extinct Samoyedic language formerly spoken in parts of Siberia by the Kamassian people.
  • B. Akhurian
    Akhurian is a village located in Armenia’s northwestern Shirak Province, near the border with Turkey.
  • C. Tiy-Merenese
    Tiy-Merenese was an ancient Egyptian queen of the 20th Dynasty, best known as the Great Royal Wife of Pharaoh Setnakhte and likely the mother of Ramesses III.
  • D. Tulic
    Tulic is a barangay (village-level administrative division) of the municipality of Argao in the province of Cebu, Philippines.
  • E. Sissanese
    Sissanese is a local variety of the Istriot language traditionally spoken in and around the town of Sissano in the Istrian 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: Naguilian
Triple: [Isabela Province, hasMunicipality, Naguilian]
Generated description
Naguilian is a rural municipality in the Philippine province of Isabela known for its agricultural economy and small-town character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naguilian
Target entity description: Naguilian is a rural municipality in the Philippine province of Isabela known for its agricultural economy and small-town character.
  • A. Kamassian
    Kamassian is an extinct Samoyedic language formerly spoken in parts of Siberia by the Kamassian people.
  • B. Akhurian
    Akhurian is a village located in Armenia’s northwestern Shirak Province, near the border with Turkey.
  • C. Tiy-Merenese
    Tiy-Merenese was an ancient Egyptian queen of the 20th Dynasty, best known as the Great Royal Wife of Pharaoh Setnakhte and likely the mother of Ramesses III.
  • D. Tulic
    Tulic is a barangay (village-level administrative division) of the municipality of Argao in the province of Cebu, Philippines.
  • E. Sissanese
    Sissanese is a local variety of the Istriot language traditionally spoken in and around the town of Sissano in the Istrian 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.