Triple

T9136347
Position Surface form Disambiguated ID Type / Status
Subject MoneyGram E219213 entity
Predicate hasOfficeLocation P1268 FINISHED
Object Manila, Philippines E7896 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: Manila, Philippines | Statement: [MoneyGram, hasOfficeLocation, Manila, Philippines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manila, Philippines
Context triple: [MoneyGram, hasOfficeLocation, Manila, Philippines]
  • A. Manila
    Manila is the OpenStack shared file system service that provides scalable, API-driven management of networked file shares.
  • B. Manila chosen
    Manila is the capital city of the Philippines, a historic and densely populated coastal metropolis that has long served as the country’s political, economic, and cultural center.
  • C. San Miguel, Manila
    San Miguel, Manila is a historic district in the city of Manila, Philippines, known for housing the presidential Malacañang Palace and various government and educational institutions.
  • D. San Nicolas, Manila
    San Nicolas, Manila is a historic riverside district in Manila, Philippines, known for its old warehouses, heritage houses, and proximity to the Chinatown area of Binondo.
  • E. Santa Cruz, Manila
    Santa Cruz, Manila is a historic commercial and residential district in the city of Manila, Philippines, known for its busy streets, old churches, and proximity to the city’s traditional Chinatown area.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8df68108190bb2df0583c5ad481 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047fb3c148190b2e1a19d4f76b550 completed April 3, 2026, 11:06 p.m.
Created at: March 30, 2026, 7:18 p.m.