Triple

T19232721
Position Surface form Disambiguated ID Type / Status
Subject Jalan Besar Stadium E480909 entity
Predicate namedAfter P63 FINISHED
Object Jalan Besar 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: Jalan Besar | Statement: [Jalan Besar Stadium, namedAfter, Jalan Besar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalan Besar
Context triple: [Jalan Besar Stadium, namedAfter, Jalan Besar]
  • A. Jalan Besar chosen
    Jalan Besar is an urban district in central Singapore known for its mix of historic shophouses, local eateries, and sports facilities.
  • B. Jalan Kertanegara
    Jalan Kertanegara is a notable street in Malang, Indonesia, known for its proximity to the iconic Tugu Malang monument and its role as a central urban thoroughfare.
  • C. Jalan Alor
    Jalan Alor is a famous food street in Kuala Lumpur known for its bustling night-time hawker stalls and diverse Malaysian street cuisine.
  • D. Jalan Tamblong
    Jalan Tamblong is a street in Bandung, Indonesia, located near the historic Jalan Asia Afrika in the city center.
  • E. Jalan Raja
    Jalan Raja is a historic main road in central Kuala Lumpur, Malaysia, known for its colonial-era architecture and prominent civic landmarks.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9fa7348190947129273d19c9a7 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:25 p.m.