Triple

T12987989
Position Surface form Disambiguated ID Type / Status
Subject Târgu Mureș E321818 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MS
MS is the vehicle registration code used on license plates for vehicles registered in Târgu Mureș, a city in Romania.
 E1012621 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: MS | Statement: [Târgu Mureș, vehicleRegistrationCode, MS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MS
Context triple: [Târgu Mureș, vehicleRegistrationCode, MS]
  • A. MS
    MS is the official vehicle registration code used on license plates for the German city of Münster.
  • B. MS
    MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
  • C. MS
    MS is the station code for Main Street station, a transit stop identified by this abbreviated designation.
  • D. MS
    MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
  • E. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • 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: MS
Triple: [Târgu Mureș, vehicleRegistrationCode, MS]
Generated description
MS is the vehicle registration code used on license plates for vehicles registered in Târgu Mureș, a city in Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MS
Target entity description: MS is the vehicle registration code used on license plates for vehicles registered in Târgu Mureș, a city in Romania.
  • A. MS
    MS is the official vehicle registration code used on license plates for the German city of Münster.
  • B. MS
    MS is the official vehicle registration code for the Brazilian state of Mato Grosso do Sul, whose capital is Campo Grande.
  • C. MS
    MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
  • D. MS
    MS is the station code for Main Street station, a transit stop identified by this abbreviated designation.
  • E. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f942588190b69a3067d5145182 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dc31ec819093c89ff0a1ccbfa1 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6baacd7548190af5514923a0dee26 completed May 3, 2026, 3:02 a.m.
Created at: April 9, 2026, 8:41 p.m.