Triple

T18594391
Position Surface form Disambiguated ID Type / Status
Subject Chino Roces Avenue E454454 entity
Predicate hasIntersectionWith P13379 FINISHED
Object Yakal Street 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: Yakal Street | Statement: [Chino Roces Avenue, hasIntersectionWith, Yakal Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakal Street
Context triple: [Chino Roces Avenue, hasIntersectionWith, Yakal Street]
  • A. Yakal Street chosen
    Yakal Street is a notable urban road in Makati, Metro Manila, known for its mix of commercial establishments, offices, and access to major thoroughfares.
  • B. Nyamiha Street
    Nyamiha Street is a major thoroughfare in central Minsk, Belarus, named after the nearby Nyamiha River and known for its commercial and historical significance.
  • C. Joto Street
    Joto Street is a historic thoroughfare in Japan known for its preserved traditional architecture and cultural significance.
  • D. Koumpari Street
    Koumpari Street is a notable street in Athens, Greece, known for housing the main building of the Benaki Museum.
  • E. Gaya Street
    Gaya Street is a historic main thoroughfare and popular commercial area in Kota Kinabalu, Sabah, Malaysia, known for its vibrant shops, eateries, and weekly street market atmosphere.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b8d76881909db1539c7150befb completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.