Triple
T10574826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4 (Barcelona Metro) |
E249580
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Poblenou station
Poblenou station is a Barcelona Metro stop in the Poblenou neighborhood, serving passengers on the city’s rapid transit network.
|
E871721
|
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: Poblenou station | Statement: [Line 4 (Barcelona Metro), hasStation, Poblenou station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poblenou station Context triple: [Line 4 (Barcelona Metro), hasStation, Poblenou station]
-
A.
Můstek station
Můstek station is a major Prague Metro interchange located at the lower end of Wenceslas Square, connecting lines A and B in the city center.
-
B.
Hledan Railway Station
Hledan Railway Station is a local commuter train station in Yangon, Myanmar, serving the Hledan area of Kamayut Township on the Yangon Circular Railway network.
-
C.
Beynes station
Beynes station is a suburban railway station in Beynes, France, served by Paris’ Transilien commuter network.
-
D.
Bryn station
Bryn station is a metro station in Oslo, Norway, on the city’s rapid transit network.
-
E.
Lechmere station
Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
- 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: Poblenou station Triple: [Line 4 (Barcelona Metro), hasStation, Poblenou station]
Generated description
Poblenou station is a Barcelona Metro stop in the Poblenou neighborhood, serving passengers on the city’s rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poblenou station Target entity description: Poblenou station is a Barcelona Metro stop in the Poblenou neighborhood, serving passengers on the city’s rapid transit network.
-
A.
Můstek station
Můstek station is a major Prague Metro interchange located at the lower end of Wenceslas Square, connecting lines A and B in the city center.
-
B.
Hledan Railway Station
Hledan Railway Station is a local commuter train station in Yangon, Myanmar, serving the Hledan area of Kamayut Township on the Yangon Circular Railway network.
-
C.
Beynes station
Beynes station is a suburban railway station in Beynes, France, served by Paris’ Transilien commuter network.
-
D.
Bryn station
Bryn station is a metro station in Oslo, Norway, on the city’s rapid transit network.
-
E.
Lechmere station
Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52749dda08190b0c9627a931c5848 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b5d89748190bb398943e4a16e9b |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94e1502108190a81bfa1d5a425e5a |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94f0bb6888190b4038df6dcd96d33 |
completed | April 10, 2026, 7:27 p.m. |
Created at: April 6, 2026, 12:38 p.m.