Triple

T18823467
Position Surface form Disambiguated ID Type / Status
Subject Santa Mesa E460322 entity
Predicate hasLandmark P105 FINISHED
Object SM City Sta. Mesa NE NERFINISHED

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: [Santa Mesa, hasLandmark, SM City Sta. Mesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SM City Sta. Mesa
Context triple: [Santa Mesa, hasLandmark, 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 North EDSA
    SM City North EDSA is one of the largest shopping malls in the Philippines, located in Quezon City and known as a major commercial and lifestyle hub in Metro Manila.
  • D. 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.
  • E. SM City Baliwag
    SM City Baliwag is a major shopping mall in Baliuag, Bulacan, featuring a wide range of retail stores, dining options, and entertainment facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bce5588190bd0aefcd0c51edad completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.