Triple

T13088102
Position Surface form Disambiguated ID Type / Status
Subject Clark Freeport and Special Economic Zone E310388 entity
Predicate nearbyCity P350 FINISHED
Object Mabalacat E395319 NE FINISHED

How this triple was built (2 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: Mabalacat | Statement: [Clark Freeport and Special Economic Zone, nearbyCity, Mabalacat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mabalacat
Context triple: [Clark Freeport and Special Economic Zone, nearbyCity, Mabalacat]
  • A. Mabalacat chosen
    Mabalacat is a city in the Philippine province of Pampanga known for hosting part of Clark Freeport and Special Economic Zone, a major commercial and aviation hub.
  • B. Cabanatuan City
    Cabanatuan City is a highly urbanized commercial and transportation hub in the Philippine province of Nueva Ecija, historically known as the "Tricycle Capital of the Philippines."
  • C. Meycauayan
    Meycauayan is a highly urbanized city in the Philippine province of Bulacan known for its jewelry and leather industries.
  • D. Tarlac City
    Tarlac City is the capital and largest urban center of the province of Tarlac in the Central Luzon (Region III) area of the Philippines.
  • E. Pasay City
    Pasay City is a highly urbanized city in Metro Manila, Philippines, known for its major commercial centers, entertainment complexes, and proximity to the Ninoy Aquino International Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa11c81f481909129eef69e47d079 completed May 9, 2026, 9:03 p.m.
Created at: April 9, 2026, 9:02 p.m.