Triple

T3909559
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Trial Courts of the Philippines E87287 entity
Predicate hasAbbreviation P43 FINISHED
Object MeTC
MeTC is the standard abbreviation for the Metropolitan Trial Courts, which are first-level courts in the Philippines that handle minor civil and criminal cases within metropolitan areas.
 E397394 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: MeTC | Statement: [Metropolitan Trial Courts of the Philippines, hasAbbreviation, MeTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MeTC
Context triple: [Metropolitan Trial Courts of the Philippines, hasAbbreviation, MeTC]
  • A. MEC
    MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
  • B. MET
    MET is the stock ticker symbol for MetLife, Inc., a major global provider of insurance, annuities, and employee benefit programs.
  • C. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • D. MEI
    MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
  • E. MOE
    MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
  • 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: MeTC
Triple: [Metropolitan Trial Courts of the Philippines, hasAbbreviation, MeTC]
Generated description
MeTC is the standard abbreviation for the Metropolitan Trial Courts, which are first-level courts in the Philippines that handle minor civil and criminal cases within metropolitan areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MeTC
Target entity description: MeTC is the standard abbreviation for the Metropolitan Trial Courts, which are first-level courts in the Philippines that handle minor civil and criminal cases within metropolitan areas.
  • A. MEC
    MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
  • B. MET
    MET is the stock ticker symbol for MetLife, Inc., a major global provider of insurance, annuities, and employee benefit programs.
  • C. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • D. MEI
    MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
  • E. MOE
    MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed14d6d08190b74757eb9288fe4d completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb1b194819093b88d3f37ae51d9 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d8510c08190a88a1a8f044b3c59 completed March 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69b51e0e9df08190959bc5cb7084d8a5 completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:22 p.m.