Triple
T9351942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fishguard Harbour railway station |
E225038
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
FGH
FGH is the National Rail station code for Fishguard Harbour railway station in Pembrokeshire, Wales.
|
E793173
|
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: FGH | Statement: [Fishguard Harbour railway station, stationCode, FGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FGH Context triple: [Fishguard Harbour railway station, stationCode, FGH]
-
A.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
-
B.
FGN
FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
-
C.
FG
FG is the currency symbol used to denote the Guinean franc, the official monetary unit of Guinea.
-
D.
FG
FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
-
E.
FG
FG is the vehicle registration code used on license plates for the district of Freiberg in the German state of Saxony.
- 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: FGH Triple: [Fishguard Harbour railway station, stationCode, FGH]
Generated description
FGH is the National Rail station code for Fishguard Harbour railway station in Pembrokeshire, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FGH Target entity description: FGH is the National Rail station code for Fishguard Harbour railway station in Pembrokeshire, Wales.
-
A.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
-
B.
FGN
FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
-
C.
FG
FG is the currency symbol used to denote the Guinean franc, the official monetary unit of Guinea.
-
D.
FG
FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
-
E.
FG
FG is the vehicle registration code used on license plates for the district of Freiberg in the German state of Saxony.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f93a9848190ad2ae24f2aa607d2 |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e445c5308190be122215c92fd03d |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e5752a38819089b23ac52f0a6a39 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e64cb4dc81908cef7d729d9cfb4d |
completed | April 4, 2026, 10:22 a.m. |
Created at: March 30, 2026, 7:41 p.m.