Triple
T8376569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires Underground Line A |
E197590
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Acoyte
Acoyte is a station on Buenos Aires’ historic Line A subway, serving the Caballito neighborhood in Argentina’s capital.
|
E729751
|
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: Acoyte | Statement: [Buenos Aires Underground Line A, hasStation, Acoyte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acoyte Context triple: [Buenos Aires Underground Line A, hasStation, Acoyte]
-
A.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
-
B.
Apsley
Apsley is a suburban village and residential area within the town of Hemel Hempstead in Hertfordshire, England, known for its canal-side setting and former paper mills.
-
C.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
D.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
-
E.
Cadishead
Cadishead is a suburban area within the City of Salford in Greater Manchester, England, historically shaped by nearby peat bogs and industrial development.
- 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: Acoyte Triple: [Buenos Aires Underground Line A, hasStation, Acoyte]
Generated description
Acoyte is a station on Buenos Aires’ historic Line A subway, serving the Caballito neighborhood in Argentina’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Acoyte Target entity description: Acoyte is a station on Buenos Aires’ historic Line A subway, serving the Caballito neighborhood in Argentina’s capital.
-
A.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
-
B.
Apsley
Apsley is a suburban village and residential area within the town of Hemel Hempstead in Hertfordshire, England, known for its canal-side setting and former paper mills.
-
C.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
D.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
-
E.
Cadishead
Cadishead is a suburban area within the City of Salford in Greater Manchester, England, historically shaped by nearby peat bogs and industrial development.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c094908190afe9cc54ce4f4d58 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7f19ba08190a08cf5aea522c021 |
completed | April 2, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69cdebf944008190b7e758ac59257e22 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdeccedf4081909cab853ee1ff1b82 |
completed | April 2, 2026, 4:13 a.m. |
Created at: March 30, 2026, 6:01 p.m.