Triple

T6831413
Position Surface form Disambiguated ID Type / Status
Subject Haarlem Spaarnwoude railway station E157145 entity
Predicate hasStationCode P1289 FINISHED
Object Hsp
Hsp is the station code for Haarlem Spaarnwoude railway station in the Netherlands.
 E621882 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: Hsp | Statement: [Haarlem Spaarnwoude railway station, hasStationCode, Hsp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hsp
Context triple: [Haarlem Spaarnwoude railway station, hasStationCode, Hsp]
  • A. HSP
    HSP (Headset Profile) is a Bluetooth standard that defines how wireless headsets communicate with devices like phones and computers for basic audio and control functions.
  • B. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • C. HPH
    HPH is the IATA airport code for Cat Bi International Airport serving Hai Phong, Vietnam.
  • D. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • E. HYS
    HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
  • 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: Hsp
Triple: [Haarlem Spaarnwoude railway station, hasStationCode, Hsp]
Generated description
Hsp is the station code for Haarlem Spaarnwoude railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hsp
Target entity description: Hsp is the station code for Haarlem Spaarnwoude railway station in the Netherlands.
  • A. HSP
    HSP (Headset Profile) is a Bluetooth standard that defines how wireless headsets communicate with devices like phones and computers for basic audio and control functions.
  • B. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • C. HPH
    HPH is the IATA airport code for Cat Bi International Airport serving Hai Phong, Vietnam.
  • D. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • E. HYS
    HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62992908190996efab71cbf70f0 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723fab0a4819080d7cd9cb4dddd33 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724b7b31081909c2bab4a3ba6e9f9 completed March 28, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69c72536c4808190b9012e282cf02da4 completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:18 p.m.