Triple

T32177580
Position Surface form Disambiguated ID Type / Status
Subject TN-01 E821895 entity
Predicate RTOName P744 FINISHED
Object Chennai (Santhome) RTO
Chennai (Santhome) RTO is a regional transport office in Chennai responsible for vehicle registration, driver licensing, and enforcement of transport regulations in its jurisdiction.
 E1995038 NE FINISHED

How this triple was built (3 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: Chennai (Santhome) RTO | Statement: [TN-01, RTOName, Chennai (Santhome) RTO]
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: Chennai (Santhome) RTO
Triple: [TN-01, RTOName, Chennai (Santhome) RTO]
Generated description
Chennai (Santhome) RTO is a regional transport office in Chennai responsible for vehicle registration, driver licensing, and enforcement of transport regulations in its jurisdiction.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: RTOName
Context triple: [TN-01, RTOName, Chennai (Santhome) RTO]
  • A. RANName
    Indicates that an entity has a specific Radio Access Network (RAN) name assigned to it.
  • B. ROAFullName
    Indicates that one entity is the full, expanded name corresponding to an abbreviated or shortened form represented by the other entity.
  • C. nameOf chosen
    Indicates that one entity is the name or designation of another entity.
  • D. registryName
    Indicates that an entity is identified or labeled by a specific name within a registry or registration system.
  • E. runtimeName
    Indicates the name of the runtime environment or platform under which an entity (such as a program or process) is executed.
  • F. None of above.

Provenance (6 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_69f3490755288190aee11740a34862f9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6ba7b13b481908a3658adff04878c completed May 3, 2026, 3:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0be0fbe88190a1f34d8f161ca607 completed June 14, 2026, 8:15 p.m.
NEDg Description generation batch_6a2f15c01ddc8190917b27116de5192e completed June 14, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_6a2f161bae0c81908f76582676bdf681 completed June 14, 2026, 8:59 p.m.
PD Predicate disambiguation batch_69f6b3aa892481908d29283a074e6722 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:34 a.m.