Triple

T18002549
Position Surface form Disambiguated ID Type / Status
Subject Cavite Export Processing Zone E430662 entity
Predicate abbreviation P43 FINISHED
Object PEZA
PEZA is the Philippine Economic Zone Authority, a government agency that promotes and regulates export-oriented economic zones and investments in the Philippines.
 E1300275 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: PEZA | Statement: [Cavite Export Processing Zone, abbreviation, PEZA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEZA
Context triple: [Cavite Export Processing Zone, abbreviation, PEZA]
  • A. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • B. Pesa
    The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
  • C. Peca
    Peca is the surname of Michael Peca, a former professional ice hockey player and two-time Selke Trophy–winning center in the NHL.
  • D. Pusad
    Pusad is a town in Maharashtra, India, known as a commercial and educational center within the Yavatmal district.
  • E. Paceco
    Paceco is a small Sicilian town in western Italy known for its agricultural landscape and proximity to the city of Trapani.
  • 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: PEZA
Triple: [Cavite Export Processing Zone, abbreviation, PEZA]
Generated description
PEZA is the Philippine Economic Zone Authority, a government agency that promotes and regulates export-oriented economic zones and investments in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEZA
Target entity description: PEZA is the Philippine Economic Zone Authority, a government agency that promotes and regulates export-oriented economic zones and investments in the Philippines.
  • A. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • B. Pesa
    The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
  • C. Peca
    Peca is the surname of Michael Peca, a former professional ice hockey player and two-time Selke Trophy–winning center in the NHL.
  • D. Pusad
    Pusad is a town in Maharashtra, India, known as a commercial and educational center within the Yavatmal district.
  • E. Paceco
    Paceco is a small Sicilian town in western Italy known for its agricultural landscape and proximity to the city of Trapani.
  • 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_69e4b3e9498c8190bdfa7a53b0c0d8db completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337b4e89c8190aad204abff18635b 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.