Triple

T9864292
Position Surface form Disambiguated ID Type / Status
Subject Ermita, Manila E239792 entity
Predicate hasMajorRoad P385 FINISHED
Object Padre Faura Street E239791 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: Padre Faura Street | Statement: [Ermita, Manila, hasMajorRoad, Padre Faura Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padre Faura Street
Context triple: [Ermita, Manila, hasMajorRoad, Padre Faura Street]
  • A. Padre Faura Street chosen
    Padre Faura Street is a notable thoroughfare in Manila, Philippines, known for hosting key institutions such as universities, government offices, and commercial establishments.
  • B. Plateros Street
    Plateros Street was the historic name of a prominent central thoroughfare in Mexico City, later renamed Madero Street.
  • C. Carvajal Street
    Carvajal Street is a narrow, historic alley in Binondo, Manila, known for its bustling market stalls and traditional Chinese food vendors.
  • D. San Pedro Street
    San Pedro Street is a major thoroughfare in downtown Los Angeles that runs through the historic Little Tokyo district and surrounding neighborhoods.
  • E. Balcarce Street
    Balcarce Street is a historic street in Buenos Aires, Argentina, known for running alongside key government buildings and landmarks in the city’s central district.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b927d08190a45ff68de3954e8f completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eadd95ac81909a265db37b648df0 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:36 p.m.