Triple
T7739879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (Lisbon Metro) |
E175478
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Telheiras station |
E685962
|
NE FINISHED |
How this triple was built (2 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: Telheiras station | Statement: [Green Line (Lisbon Metro), hasStation, Telheiras station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telheiras station Context triple: [Green Line (Lisbon Metro), hasStation, Telheiras station]
-
A.
Telheiras station
chosen
Telheiras station is a Lisbon Metro station serving the Telheiras neighborhood and functioning as the northern terminus of the system’s Green Line.
-
B.
Talavera station
Talavera station is one of the intermediate stops on Wellington’s historic cable car line in New Zealand, serving nearby residential and university areas.
-
C.
Taveiro station
Taveiro station is a former name for the Coimbra-B railway station, a key rail hub serving the city of Coimbra in central Portugal.
-
D.
Irarrázaval station
Irarrázaval station is a key interchange stop on the Santiago Metro system in Chile, serving as a connection point between multiple lines in the city’s underground network.
-
E.
J. Ruiz station
J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035cddb881908bdfc1bd7d6a64ad |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e581d4e881908c88d55364a5e014 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 4:07 p.m.