Triple

T29688078
Position Surface form Disambiguated ID Type / Status
Subject Java rail network E751139 entity
Predicate firstSectionRoute P203113 FINISHED
Object Semarang–Tanggung
Semarang–Tanggung is a historic railway line segment in Central Java, Indonesia, that formed part of the earliest rail infrastructure on the island.
 E1879074 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: Semarang–Tanggung | Statement: [Java rail network, firstSectionRoute, Semarang–Tanggung]
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: Semarang–Tanggung
Triple: [Java rail network, firstSectionRoute, Semarang–Tanggung]
Generated description
Semarang–Tanggung is a historic railway line segment in Central Java, Indonesia, that formed part of the earliest rail infrastructure on the island.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstSectionRoute
Context triple: [Java rail network, firstSectionRoute, Semarang–Tanggung]
  • A. firstRoutes
    Indicates that one route or path is the initial or primary route taken or assigned among a set of possible routes.
  • B. firstSectionOpened
    Indicates that the initial section in a sequence or structure has been opened or activated.
  • C. primaryRoute
    Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
  • D. primaryRouteFrom
    Indicates that one entity serves as the main or preferred route originating from another entity.
  • E. firstPage
    Indicates that one entity is the first page or initial section in the ordered sequence of pages of another entity.
  • F. None of above. chosen

Provenance (7 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_69f0d625b09481909b0b69aea1e846c8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_6a0123d1162c81908182d01ba3ddd236 completed May 11, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a267eca95c481909b7fdf59e5524762 completed June 8, 2026, 8:35 a.m.
NEDg Description generation batch_6a2682e65ae08190a4d7e0ba5b6cf7f1 completed June 8, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a2687743cfc81909c3a7679bfb29c35 completed June 8, 2026, 9:12 a.m.
PD Predicate disambiguation batch_6a01236713d88190b12a567c0dfb2d49 completed May 11, 2026, 12:31 a.m.
PDg Predicate description generation batch_6a0123cff0e481909c938428fbfe76a6 completed May 11, 2026, 12:33 a.m.
Created at: April 28, 2026, 7:15 p.m.