Triple
T21349551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upton Park Underground station |
E526436
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
UPK
UPK is the three-letter station code used by the London Underground for Upton Park station.
|
E1479452
|
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: UPK | Statement: [Upton Park Underground station, hasStationCode, UPK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPK Context triple: [Upton Park Underground station, hasStationCode, UPK]
-
A.
UPE
UPE is the abbreviation for Université Paris-Est, a French higher education and research institution located in the eastern part of the Paris metropolitan area.
-
B.
UPG
UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
-
C.
UPB
UPB is the commonly used abbreviation for the Politehnica University of Bucharest, a major technical university in Romania.
-
D.
UPB
UPB is the Baguio-based constituent campus of the University of the Philippines system, known for its strong programs in the arts, sciences, and Cordillera studies.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- 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: UPK Triple: [Upton Park Underground station, hasStationCode, UPK]
Generated description
UPK is the three-letter station code used by the London Underground for Upton Park station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UPK Target entity description: UPK is the three-letter station code used by the London Underground for Upton Park station.
-
A.
UPE
UPE is the abbreviation for Université Paris-Est, a French higher education and research institution located in the eastern part of the Paris metropolitan area.
-
B.
UPG
UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
-
C.
UPB
UPB is the commonly used abbreviation for the Politehnica University of Bucharest, a major technical university in Romania.
-
D.
UPB
UPB is the Baguio-based constituent campus of the University of the Philippines system, known for its strong programs in the arts, sciences, and Cordillera studies.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad30512081909012ce318fa67679 |
completed | April 22, 2026, 11:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad5b7f80819098ad83e864fa556f |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ae26d43881909c1e0a6a5e37a488 |
completed | May 17, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09aeb3382c819088070f86c2d17b41 |
completed | May 17, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:03 p.m.