Triple

T10958700
Position Surface form Disambiguated ID Type / Status
Subject International Islamic University Malaysia E258909 entity
Predicate city P40 FINISHED
Object Gombak E782951 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: Gombak | Statement: [International Islamic University Malaysia, city, Gombak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gombak
Context triple: [International Islamic University Malaysia, city, Gombak]
  • A. Gombak chosen
    Gombak is a district in the state of Selangor, Malaysia, located within the greater Kuala Lumpur metropolitan area in the Klang Valley.
  • B. Ampang Jaya
    Ampang Jaya is a suburban municipality in the state of Selangor, Malaysia, forming part of the greater Kuala Lumpur metropolitan area.
  • C. Seremban
    Seremban is the capital city of the Malaysian state of Negeri Sembilan, known as an administrative, commercial, and cultural center in the western part of Peninsular Malaysia.
  • D. Kuala Pilah
    Kuala Pilah is a historic inland town in the Malaysian state of Negeri Sembilan, known for its traditional Minangkabau cultural heritage and role as an administrative and commercial center for the surrounding rural district.
  • E. Batu Pahat
    Batu Pahat is a coastal town and important commercial and industrial hub in the Malaysian state of Johor.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77126d9288190aa5daf2ba83d731d completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3a94466bc8190b4d4db70083ab5a5 completed April 18, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:23 p.m.