Triple
T5103440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horwich Parkway railway station |
E115033
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
HWI
HWI is the National Rail station code for Horwich Parkway railway station in Greater Manchester, England.
|
E494317
|
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: HWI | Statement: [Horwich Parkway railway station, hasStationCode, HWI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HWI Context triple: [Horwich Parkway railway station, hasStationCode, HWI]
-
A.
Hiw
Hiw is an Oceanic language spoken on Hiw Island in northern Vanuatu, known for its small speaker population and distinctive phonological features.
-
B.
HTI
HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
-
C.
HDI
The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
-
D.
HIH
HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
-
E.
HSI
HSI is the principal investigative arm of the U.S. Department of Homeland Security, responsible for enforcing federal laws related to border security, customs, immigration, and transnational crime.
- 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: HWI Triple: [Horwich Parkway railway station, hasStationCode, HWI]
Generated description
HWI is the National Rail station code for Horwich Parkway railway station in Greater Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HWI Target entity description: HWI is the National Rail station code for Horwich Parkway railway station in Greater Manchester, England.
-
A.
Hiw
Hiw is an Oceanic language spoken on Hiw Island in northern Vanuatu, known for its small speaker population and distinctive phonological features.
-
B.
HTI
HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
-
C.
HDI
The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
-
D.
HIH
HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
-
E.
HSI
HSI is the principal investigative arm of the U.S. Department of Homeland Security, responsible for enforcing federal laws related to border security, customs, immigration, and transnational crime.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7588c1cc81909d380f91ee214808 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba9106ec8190839a7de183efa359 |
completed | March 21, 2026, 3:34 p.m. |
| NEDg | Description generation | batch_69bebafeeca08190baa9344d8628f325 |
completed | March 21, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebc3ba76c8190a141ff7366a94f60 |
completed | March 21, 2026, 3:41 p.m. |
Created at: March 20, 2026, 1:41 p.m.