Triple
T25531591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinar de Chamartín |
E639930
|
entity |
| Predicate | metroLine1ExtensionTerminus |
P15150
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Pinar de Chamartín, metroLine1ExtensionTerminus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroLine1ExtensionTerminus Context triple: [Pinar de Chamartín, metroLine1ExtensionTerminus, yes]
-
A.
railLineTerminus
Indicates that a rail line ends or terminates at the specified location or station.
-
B.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
C.
metroLineInaugurated
Indicates that a metro line was officially opened and began operation on a specific date or during a specific event.
-
D.
terminusStation
chosen
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
-
E.
lightRailNetworkEndpointFor
Indicates that one entity serves as an endpoint (such as a terminus or boundary station) of a specified light rail network.
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f863b97481908c64be433f36980e |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:14 p.m.