Triple
T23690210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Príncipe Pío |
E585275
|
entity |
| Predicate | metroOperatedBy |
P20657
|
FINISHED |
| Object | Metro de Madrid |
—
|
NE NERFINISHED |
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: Metro de Madrid | Statement: [Príncipe Pío, metroOperatedBy, Metro de Madrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroOperatedBy Context triple: [Príncipe Pío, metroOperatedBy, Metro de Madrid]
-
A.
transitAuthorityAbbreviation
Indicates that one entity is the standard abbreviated form of the name of a particular transit authority.
-
B.
tramOperator
Indicates that one entity operates, manages, or runs tram services for another entity or area.
-
C.
publiclyOperatedBy
Indicates that an entity is managed or run by a public or government organization.
-
D.
hasPublicTransportAgency
chosen
Indicates that a place or transport system is served, managed, or overseen by a specific public transportation agency.
-
E.
oftenOperatedBy
Indicates that an entity is frequently or typically operated, controlled, or run by another entity.
- F. None of above.
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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c16af08190b2f4d126c60a7e75 |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.