Triple
T7481012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Line (Lisbon Metro) |
E176756
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Chelas station
Chelas station is a Lisbon Metro underground station serving the Chelas neighborhood on the system’s Red Line.
|
E666694
|
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: Chelas station | Statement: [Red Line (Lisbon Metro), hasStation, Chelas station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelas station Context triple: [Red Line (Lisbon Metro), hasStation, Chelas station]
-
A.
Paulina station
Paulina station is an elevated Chicago 'L' rapid transit stop in the Lakeview neighborhood, served by the Brown Line.
-
B.
Serdika station
Serdika station is a central interchange station in the Sofia Metro system, connecting key lines and serving as a major transit hub in Bulgaria’s capital.
-
C.
Nikolassee station
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
-
D.
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.
-
E.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
- 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: Chelas station Triple: [Red Line (Lisbon Metro), hasStation, Chelas station]
Generated description
Chelas station is a Lisbon Metro underground station serving the Chelas neighborhood on the system’s Red Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chelas station Target entity description: Chelas station is a Lisbon Metro underground station serving the Chelas neighborhood on the system’s Red Line.
-
A.
Paulina station
Paulina station is an elevated Chicago 'L' rapid transit stop in the Lakeview neighborhood, served by the Brown Line.
-
B.
Serdika station
Serdika station is a central interchange station in the Sofia Metro system, connecting key lines and serving as a major transit hub in Bulgaria’s capital.
-
C.
Nikolassee station
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
-
D.
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.
-
E.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f534aa388190b3bb3e16be3a54c8 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83493f0988190b8c569d34bbe2817 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835cf7a58819095ed79b84f935a84 |
completed | March 28, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8366b2fcc8190bd8b07a54a848721 |
completed | March 28, 2026, 8:13 p.m. |
Created at: March 27, 2026, 3:42 p.m.