Triple
T13922002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vila Nova de Gaia-Devesas railway station |
E334769
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Devesas
Devesas is a railway station in Vila Nova de Gaia, Portugal, serving as a key suburban and regional rail hub for the Porto metropolitan area.
|
E1069690
|
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: Devesas | Statement: [Vila Nova de Gaia-Devesas railway station, hasAbbreviation, Devesas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devesas Context triple: [Vila Nova de Gaia-Devesas railway station, hasAbbreviation, Devesas]
-
A.
Guatraché
Guatraché is a town in Argentina known for its significant German Argentine community and cultural heritage.
-
B.
Resígaru
Resígaru is an indigenous Arawakan language of the Amazon region, now critically endangered with only a few remaining speakers.
-
C.
Iruña
Iruña is the Basque name for the city of Pamplona, the historic capital of Navarre in northern Spain.
-
D.
Uacilla
Uacilla is a prominent deity in Ossetian folk religion, often associated with thunder, weather, and protection.
-
E.
Avilés
Avilés is a historic coastal city in northern Spain’s Asturias region, known for its medieval old town and long maritime and industrial heritage.
- 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: Devesas Triple: [Vila Nova de Gaia-Devesas railway station, hasAbbreviation, Devesas]
Generated description
Devesas is a railway station in Vila Nova de Gaia, Portugal, serving as a key suburban and regional rail hub for the Porto metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Devesas Target entity description: Devesas is a railway station in Vila Nova de Gaia, Portugal, serving as a key suburban and regional rail hub for the Porto metropolitan area.
-
A.
Guatraché
Guatraché is a town in Argentina known for its significant German Argentine community and cultural heritage.
-
B.
Resígaru
Resígaru is an indigenous Arawakan language of the Amazon region, now critically endangered with only a few remaining speakers.
-
C.
Iruña
Iruña is the Basque name for the city of Pamplona, the historic capital of Navarre in northern Spain.
-
D.
Uacilla
Uacilla is a prominent deity in Ossetian folk religion, often associated with thunder, weather, and protection.
-
E.
Avilés
Avilés is a historic coastal city in northern Spain’s Asturias region, known for its medieval old town and long maritime and industrial heritage.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa5c1f481908a9d8786872f08fe |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce7ecb488190b96f67cad4b91968 |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd5b82f48190b0b89ddca25883cc |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f9fea0a9dc8190b5b65dfec9626949 |
completed | May 5, 2026, 2:28 p.m. |
Created at: April 9, 2026, 10:16 p.m.