Triple
T4003492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leiden Centraal |
E89468
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | NS Stations |
E28407
|
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: NS Stations | Statement: [Leiden Centraal, ownedBy, NS Stations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS Stations Context triple: [Leiden Centraal, ownedBy, NS Stations]
-
A.
NS Stations
chosen
NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
-
B.
Opera station
Opera station is an underground metro stop in central Budapest, located near the Hungarian State Opera House and served by the historic M1 (Millennium Underground) line.
-
C.
Central Station
Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
-
D.
Central Station
Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
-
E.
Sol station
Sol station is a major central railway and metro hub in Madrid, Spain, serving as a key interchange point for Cercanías commuter trains and multiple urban transit lines beneath Puerta del Sol.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa5de98c8190a95b21a75fffdef3 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c61bad48190a5115dbd4a3457d6 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.