Triple

T5888629
Position Surface form Disambiguated ID Type / Status
Subject Ara Junction railway station E130930 entity
Predicate hasStationCode P1289 FINISHED
Object ARA
ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
 E552275 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: ARA | Statement: [Ara Junction railway station, hasStationCode, ARA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARA
Context triple: [Ara Junction railway station, hasStationCode, ARA]
  • A. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • B. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • C. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • D. ARC
    ARC is a U.S. federal–state regional economic development agency focused on improving economic growth and quality of life in the Appalachian region.
  • E. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • 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: ARA
Triple: [Ara Junction railway station, hasStationCode, ARA]
Generated description
ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARA
Target entity description: ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • A. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • B. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • C. ARC
    ARC is a U.S. federal–state regional economic development agency focused on improving economic growth and quality of life in the Appalachian region.
  • D. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • E. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036af6330819081d9fa98a8c26633 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b146ad348190baeeecb65f2bf811 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b2178dc48190948397b948dd1970 completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b29d6048819086c4d4cd01c64a51 completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:58 p.m.