Triple
T2642408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faro railway station |
E62900
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
FAR
FAR is the station code for Faro railway station, a key rail transport hub serving the city of Faro in southern Portugal’s Algarve region.
|
E285805
|
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: FAR | Statement: [Faro railway station, hasStationCode, FAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAR Context triple: [Faro railway station, hasStationCode, FAR]
-
A.
FAR
FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
-
B.
FAR
FAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s First Assessment Report, a foundational scientific evaluation of climate change published in 1990.
-
C.
AS FAR
AS FAR is a prominent Moroccan football club based in Rabat, known for its strong domestic record and intense rivalries in Moroccan football.
-
D.
FRO
FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
-
E.
FA
FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
- 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: FAR Triple: [Faro railway station, hasStationCode, FAR]
Generated description
FAR is the station code for Faro railway station, a key rail transport hub serving the city of Faro in southern Portugal’s Algarve region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAR Target entity description: FAR is the station code for Faro railway station, a key rail transport hub serving the city of Faro in southern Portugal’s Algarve region.
-
A.
FAR
FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
-
B.
FAR
FAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s First Assessment Report, a foundational scientific evaluation of climate change published in 1990.
-
C.
AS FAR
AS FAR is a prominent Moroccan football club based in Rabat, known for its strong domestic record and intense rivalries in Moroccan football.
-
D.
FRO
FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
-
E.
FA
FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98bfd4008190a30675ebaf01e483 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af99416924819099d4acb1a2d60e0c |
completed | March 10, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99adadb08190a44f2286b25bf0aa |
completed | March 10, 2026, 4:10 a.m. |
Created at: March 6, 2026, 9:53 p.m.