Triple

T5519329
Position Surface form Disambiguated ID Type / Status
Subject Cetinje E144765 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object CT
CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
 E531640 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: CT | Statement: [Cetinje, vehicleRegistrationCode, CT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CT
Context triple: [Cetinje, vehicleRegistrationCode, CT]
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • C. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • D. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • E. ECT
    ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • 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: CT
Triple: [Cetinje, vehicleRegistrationCode, CT]
Generated description
CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CT
Target entity description: CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • C. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • D. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • E. ECT
    ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03c495bf88190884ab03b9e5540f0 completed March 22, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69c03cd550748190ab9718c510d2f0ca completed March 22, 2026, 7:02 p.m.
Created at: March 22, 2026, 3:33 p.m.