Triple

T32577263
Position Surface form Disambiguated ID Type / Status
Subject Kertosono E832679 entity
Predicate hasTollRoadInterchange P23497 FINISHED
Object Kertosono Toll Gate
Kertosono Toll Gate is a major toll road interchange in Kertosono, Indonesia, serving as a key access point connecting local traffic to the regional expressway network.
 E2013497 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: Kertosono Toll Gate | Statement: [Kertosono, hasTollRoadInterchange, Kertosono Toll Gate]
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: Kertosono Toll Gate
Triple: [Kertosono, hasTollRoadInterchange, Kertosono Toll Gate]
Generated description
Kertosono Toll Gate is a major toll road interchange in Kertosono, Indonesia, serving as a key access point connecting local traffic to the regional expressway network.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasTollRoadInterchange
Context triple: [Kertosono, hasTollRoadInterchange, Kertosono Toll Gate]
  • A. hasTollBoothsAt
    Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
  • B. tollRoadOf
    Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
  • C. isTollFacilityOf chosen
    Indicates that a facility (such as a toll booth, plaza, or gantry) is part of, or used to collect tolls for, a specific toll road or toll transportation infrastructure.
  • D. isTollRoadDestination
    Indicates that a location serves as a destination reachable via a toll road or requiring travel on a toll road to access it.
  • E. isTollRoadForMostSegments
    Indicates that the road is designated as a toll road along the majority of its segments or length.
  • 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_69f349289adc81909f4374a58ec35a39 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fcc4b700748190ae00b21d09c96695 completed May 7, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a347ba17f708190be4d3d6ffd7ce1eb completed June 18, 2026, 11:13 p.m.
NEDg Description generation batch_6a347e44a3a48190a877249a0d4997f3 completed June 18, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_6a347ea727248190989ab31dbe0361fd completed June 18, 2026, 11:26 p.m.
PD Predicate disambiguation batch_69fcb0f9d3d881908a049475182fb039 completed May 7, 2026, 3:34 p.m.
Created at: May 1, 2026, 1:04 a.m.