Triple

T11679870
Position Surface form Disambiguated ID Type / Status
Subject V. Mapa station E277586 entity
Predicate nearby P350 FINISHED
Object SM City Sta. Mesa E909317 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: SM City Sta. Mesa | Statement: [V. Mapa station, nearby, SM City Sta. Mesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SM City Sta. Mesa
Context triple: [V. Mapa station, nearby, SM City Sta. Mesa]
  • A. SM City San Lazaro chosen
    SM City San Lazaro is a large shopping mall and commercial complex located in the Santa Cruz district of Manila, Philippines.
  • B. SM City Dasmariñas
    SM City Dasmariñas is a large SM Supermall in Dasmariñas, Cavite, serving as a major retail, dining, and entertainment hub for the city and nearby areas.
  • C. SM City General Santos
    SM City General Santos is a major SM Supermall shopping complex located in General Santos City in the Philippines, featuring a wide range of retail, dining, and entertainment options.
  • D. SM Megamall
    SM Megamall is one of the largest shopping malls in the Philippines, located in Mandaluyong City and known for its extensive retail, dining, and entertainment options.
  • E. SM City San Fernando Downtown
    SM City San Fernando Downtown is a major SM Supermall located in the heritage district of San Fernando, Pampanga, serving as a key retail and commercial hub for the city and nearby areas.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a461b0908190bef4e1c6777affcf completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14007dd08190b60640be9949ca26 completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.