Triple
T18470993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fratton railway station |
E451299
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
FTN
FTN is the National Rail station code for Fratton railway station in Portsmouth, England.
|
E1326304
|
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: FTN | Statement: [Fratton railway station, hasStationCode, FTN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FTN Context triple: [Fratton railway station, hasStationCode, FTN]
-
A.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
-
B.
FNT
FNT is the IATA airport code for Bishop International Airport, a commercial airport serving the Flint, Michigan area in the United States.
-
C.
FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
-
D.
TFN
TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
-
E.
FJT
FJT is the standard time zone used in Fiji, typically 12 hours ahead of Coordinated Universal Time (UTC+12) and sometimes observing daylight saving time.
- 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: FTN Triple: [Fratton railway station, hasStationCode, FTN]
Generated description
FTN is the National Rail station code for Fratton railway station in Portsmouth, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FTN Target entity description: FTN is the National Rail station code for Fratton railway station in Portsmouth, England.
-
A.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
-
B.
FNT
FNT is the IATA airport code for Bishop International Airport, a commercial airport serving the Flint, Michigan area in the United States.
-
C.
FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
-
D.
TFN
TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
-
E.
FJT
FJT is the standard time zone used in Fiji, typically 12 hours ahead of Coordinated Universal Time (UTC+12) and sometimes observing daylight saving time.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5305f428c81909980bd30d150e7dd |
completed | April 19, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f29097881909bacb0df4ec9d307 |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a04407a51608190ba78d2c5337dd13f |
completed | May 13, 2026, 9:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04412ce3d481909044236be107de8d |
completed | May 13, 2026, 9:15 a.m. |
Created at: April 10, 2026, 11:34 a.m.