Triple

T8079357
Position Surface form Disambiguated ID Type / Status
Subject Marinduque E188574 entity
Predicate hasISOCode P189 FINISHED
Object PH-MAD
PH-MAD is the ISO 3166-2:PH subdivision code assigned to the Philippine province of Marinduque.
E710468 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: PH-MAD | Statement: [Marinduque, hasISOCode, PH-MAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PH-MAD
Context triple: [Marinduque, hasISOCode, PH-MAD]
  • A. MAD
    MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
  • B. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • C. PHMK
    PHMK is the ICAO airport code for Molokaʻi Airport, a public airport serving the island of Molokaʻi in Hawaii.
  • D. PH
    PH is the vehicle registration code used on license plates for vehicles registered in Ploiești, Romania.
  • E. U Mad
    "U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
  • 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: PH-MAD
Triple: [Marinduque, hasISOCode, PH-MAD]
Generated description
PH-MAD is the ISO 3166-2:PH subdivision code assigned to the Philippine province of Marinduque.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PH-MAD
Target entity description: PH-MAD is the ISO 3166-2:PH subdivision code assigned to the Philippine province of Marinduque.
  • A. MAD
    MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
  • B. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • C. PHMK
    PHMK is the ICAO airport code for Molokaʻi Airport, a public airport serving the island of Molokaʻi in Hawaii.
  • D. PH
    PH is the vehicle registration code used on license plates for vehicles registered in Ploiești, Romania.
  • E. U Mad
    "U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a3f01c819096a2c9d5d5199fe6 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f79ac08190af49e77bee67921d completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651d340c819089306bac7110f57a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc666ecc04819092ee4cc035dde627 completed April 1, 2026, 12:27 a.m.
Created at: March 30, 2026, 5:28 p.m.