Triple

T10792664
Position Surface form Disambiguated ID Type / Status
Subject Eindhoven Centraal railway station E254620 entity
Predicate hasStationCode P1289 FINISHED
Object Ehv
Ehv is the official station code used to identify Eindhoven Centraal railway station in the Netherlands.
 E885401 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: Ehv | Statement: [Eindhoven Centraal railway station, hasStationCode, Ehv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ehv
Context triple: [Eindhoven Centraal railway station, hasStationCode, Ehv]
  • A. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • B. Evaechme
    Evaechme is a minor figure in Greek mythology known primarily as the daughter of Hyllus, the son of Heracles.
  • C. Esv
    Esv is the official Dutch railway station code used to identify Eindhoven Strijp-S station in the Netherlands.
  • D. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • E. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • 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: Ehv
Triple: [Eindhoven Centraal railway station, hasStationCode, Ehv]
Generated description
Ehv is the official station code used to identify Eindhoven Centraal railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ehv
Target entity description: Ehv is the official station code used to identify Eindhoven Centraal railway station in the Netherlands.
  • A. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • B. Evaechme
    Evaechme is a minor figure in Greek mythology known primarily as the daughter of Hyllus, the son of Heracles.
  • C. Esv
    Esv is the official Dutch railway station code used to identify Eindhoven Strijp-S station in the Netherlands.
  • D. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • E. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f7ad408190af4727dd9d459498 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.