Triple

T4058659
Position Surface form Disambiguated ID Type / Status
Subject Tarlac E84755 entity
Predicate hasCity P316 FINISHED
Object Camiling
Camiling is a first-class municipality in the province of Tarlac in the Philippines, known as a commercial and educational hub in the region.
 E411885 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: Camiling | Statement: [Tarlac, hasCity, Camiling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Camiling
Context triple: [Tarlac, hasCity, Camiling]
  • A. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • B. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • C. Kamayo
    Kamayo is an Austronesian language spoken primarily in parts of Mindanao in the Philippines, particularly in the Caraga region.
  • D. Surigaonon
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • E. Minalin
    Minalin is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and traditional cultural festivities.
  • 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: Camiling
Triple: [Tarlac, hasCity, Camiling]
Generated description
Camiling is a first-class municipality in the province of Tarlac in the Philippines, known as a commercial and educational hub in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Camiling
Target entity description: Camiling is a first-class municipality in the province of Tarlac in the Philippines, known as a commercial and educational hub in the region.
  • A. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • B. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • C. Kamayo
    Kamayo is an Austronesian language spoken primarily in parts of Mindanao in the Philippines, particularly in the Caraga region.
  • D. Surigaonon
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • E. Minalin
    Minalin is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and traditional cultural festivities.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd13b4481908f9c09cc4f4a9724 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a6250081908f289f43b066b04d completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b3db0481909f3dd2a9e6a88e6e completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b567e223cc8190aa1d7e827e6c70fd completed March 14, 2026, 1:51 p.m.
Created at: March 9, 2026, 3:38 p.m.