Triple

T13740889
Position Surface form Disambiguated ID Type / Status
Subject Neston railway station E330080 entity
Predicate hasStationCode P1289 FINISHED
Object NES E898358 NE FINISHED

How this triple was built (2 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: NES | Statement: [Neston railway station, hasStationCode, NES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NES
Context triple: [Neston railway station, hasStationCode, NES]
  • A. NES
    NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
  • B. NES chosen
    NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
  • C. Nintendo consoles
    Nintendo consoles are a series of home and handheld video game systems created by Nintendo, known for iconic hardware like the NES, Game Boy, Wii, and Switch and for hosting many of the company’s flagship game franchises.
  • D. Nintendo DS
    The Nintendo DS is a dual-screen handheld gaming console released by Nintendo that popularized touch-based gameplay and wireless multiplayer features.
  • E. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0206a4b88190a60914e2b43e54f9 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6db3a48190a4f3595355f9073b completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.