Triple

T4149557
Position Surface form Disambiguated ID Type / Status
Subject Pekanbaru E89869 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BM
BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
 E417637 NE FINISHED

How this triple was built (4 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: BM | Statement: [Pekanbaru, vehicleRegistrationCode, BM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BM
Context triple: [Pekanbaru, vehicleRegistrationCode, BM]
  • A. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • B. BD
    BD is the currency symbol used to denote the Bahraini dinar, the official monetary unit of Bahrain.
  • C. BD
    BD is the UK postcode area covering Bradford and surrounding parts of West Yorkshire.
  • D. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • E. BMZ
    BMZ is the German Federal Ministry responsible for the country's development policy and international development cooperation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BM
Triple: [Pekanbaru, vehicleRegistrationCode, BM]
Generated description
BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BM
Target entity description: BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • A. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • B. BD
    BD is the UK postcode area covering Bradford and surrounding parts of West Yorkshire.
  • C. BD
    BD is the currency symbol used to denote the Bahraini dinar, the official monetary unit of Bahrain.
  • D. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • E. BMZ
    BMZ is the German Federal Ministry responsible for the country's development policy and international development cooperation.
  • F. None of above. chosen

Provenance (5 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0273a038819087db092da234e767 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f34c748819093d03ccddd3e1f75 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57f9e42c88190b516bf8dca7b2efc completed March 14, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69b58028e7108190a6c92fc9ea300f9e completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:43 p.m.