Triple

T3138283
Position Surface form Disambiguated ID Type / Status
Subject Northern Samar E65583 entity
Predicate hasMunicipality P847 FINISHED
Object Lapinig
Lapinig is a coastal municipality in the province of Northern Samar in the Philippines.
 E329515 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: Lapinig | Statement: [Northern Samar, hasMunicipality, Lapinig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lapinig
Context triple: [Northern Samar, hasMunicipality, Lapinig]
  • A. Punakapina
    Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
  • B. Lipara
    Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
  • C. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • D. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • E. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • 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: Lapinig
Triple: [Northern Samar, hasMunicipality, Lapinig]
Generated description
Lapinig is a coastal municipality in the province of Northern Samar in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lapinig
Target entity description: Lapinig is a coastal municipality in the province of Northern Samar in the Philippines.
  • A. Punakapina
    Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
  • B. Lipara
    Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
  • C. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • D. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • E. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8a1a2081909081c36075d4ddbe completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2137b30508190a5a9a439d77ae3bb completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b21413338c8190997d0f2f11f41008 completed March 12, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:05 p.m.