Triple
T6457667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Príncipe Pío station |
E142033
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Adif |
E369133
|
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: Adif | Statement: [Príncipe Pío station, operator, Adif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adif Context triple: [Príncipe Pío station, operator, Adif]
-
A.
Adif
chosen
Adif is Spain’s state-owned railway infrastructure manager responsible for the construction, maintenance, and operation of most of the country’s rail network and stations.
-
B.
Ouigo
Ouigo is a low-cost high-speed train service operated by France's SNCF, offering budget TGV travel with simplified onboard services.
-
C.
Renfe Operadora
Renfe Operadora is Spain’s national state-owned railway company, responsible for operating most passenger and freight rail services across the country.
-
D.
Abellio
Abellio is a Dutch-based public transport company that operates train and bus services in the United Kingdom and parts of Europe.
-
E.
Thalys
Thalys is a high-speed international train service connecting major cities in France, Belgium, the Netherlands, and Germany.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d758508190b9c7358ef84f8169 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bdef4a881908f3d7b6eefab7def |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:48 p.m.