Triple

T7040782
Position Surface form Disambiguated ID Type / Status
Subject Harlow Town railway station E163503 entity
Predicate stationCode P1289 FINISHED
Object HWN
HWN is the National Rail station code for Harlow Town railway station in Essex, England.
 E636443 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: HWN | Statement: [Harlow Town railway station, stationCode, HWN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HWN
Context triple: [Harlow Town railway station, stationCode, HWN]
  • A. HWD
    HWD is the three-letter IATA airport code assigned to Hayward Executive Airport in Hayward, California.
  • B. H&W
    H&W is the abbreviated logo text used by Harland and Wolff, the historic Belfast-based shipbuilding and heavy engineering company.
  • C. PHW
    PHW is the historical team abbreviation used for the Philadelphia Warriors, the NBA franchise that later became the Golden State Warriors.
  • D. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • E. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • 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: HWN
Triple: [Harlow Town railway station, stationCode, HWN]
Generated description
HWN is the National Rail station code for Harlow Town railway station in Essex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HWN
Target entity description: HWN is the National Rail station code for Harlow Town railway station in Essex, England.
  • A. HWD
    HWD is the three-letter IATA airport code assigned to Hayward Executive Airport in Hayward, California.
  • B. H&W
    H&W is the abbreviated logo text used by Harland and Wolff, the historic Belfast-based shipbuilding and heavy engineering company.
  • C. PHW
    PHW is the historical team abbreviation used for the Philadelphia Warriors, the NBA franchise that later became the Golden State Warriors.
  • D. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • E. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22544708190b0dffb5256d4cda6 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775afabbc8190a6ff263b1a996c9c completed March 28, 2026, 6:31 a.m.
NEDg Description generation batch_69c7779c8bcc819089d79399f0c9eb31 completed March 28, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69c7789d07c08190b6b6479ffbbc9f3e completed March 28, 2026, 6:43 a.m.
Created at: March 27, 2026, 2:36 p.m.