Triple

T23081269
Position Surface form Disambiguated ID Type / Status
Subject Oensingen railway station E575477 entity
Predicate hasStationCode P1289 FINISHED
Object Oe
Oe is the station code for Oensingen railway station in Switzerland’s public transportation network.
 E1570267 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: Oe | Statement: [Oensingen railway station, hasStationCode, Oe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oe
Context triple: [Oensingen railway station, hasStationCode, Oe]
  • A. Ōe
    Ōe is a Japanese surname most prominently associated with Nobel Prize–winning author Kenzaburō Ōe and his son, composer Hikari Ōe.
  • B. ÓE
    ÓE is the official abbreviation for Óbuda University, a higher education institution in Budapest, Hungary known for its engineering and technical programs.
  • C. Oa
    Oa is the central planet and headquarters of the Green Lantern Corps in DC Comics, serving as the home of the Guardians of the Universe and the hub of intergalactic policing.
  • D. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • E. Odo-Ya
    "Odo-Ya" is a song featured on the soundtrack album for Disney's animated film "Encanto."
  • 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: Oe
Triple: [Oensingen railway station, hasStationCode, Oe]
Generated description
Oe is the station code for Oensingen railway station in Switzerland’s public transportation network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oe
Target entity description: Oe is the station code for Oensingen railway station in Switzerland’s public transportation network.
  • A. Ōe
    Ōe is a Japanese surname most prominently associated with Nobel Prize–winning author Kenzaburō Ōe and his son, composer Hikari Ōe.
  • B. ÓE
    ÓE is the official abbreviation for Óbuda University, a higher education institution in Budapest, Hungary known for its engineering and technical programs.
  • C. Oa
    Oa is the central planet and headquarters of the Green Lantern Corps in DC Comics, serving as the home of the Guardians of the Universe and the hub of intergalactic policing.
  • D. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • E. Odo-Ya
    "Odo-Ya" is a song featured on the soundtrack album for Disney's animated film "Encanto."
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b0a6ac819085f13e7bdc82840f completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c175e246081909d6451f245ccfe66 completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1820a4d88190aed59f50b4e7ec47 completed May 19, 2026, 7:58 a.m.
Created at: April 17, 2026, 3:56 p.m.