Triple
T24160813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego de León |
E598831
|
entity |
| Predicate | hasMetroLineConfiguration |
P154822
|
FINISHED |
| Object | Line 4 platforms perpendicular to Line 5 and Line 6 platforms |
—
|
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: Line 4 platforms perpendicular to Line 5 and Line 6 platforms | Statement: [Diego de León, hasMetroLineConfiguration, Line 4 platforms perpendicular to Line 5 and Line 6 platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetroLineConfiguration Context triple: [Diego de León, hasMetroLineConfiguration, Line 4 platforms perpendicular to Line 5 and Line 6 platforms]
-
A.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
B.
isFirstMetroLineInCity
Indicates that a metro line is the earliest or original metro line established in a given city.
-
C.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
D.
hasTramTrainLine
Indicates that there exists a tram-train line connection or service linking the related entities.
-
E.
hasChronobusLine
Indicates that a location or entity is served by, or connected to, a Chronobus transit line.
- F. None of above. chosen
Provenance (4 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e8b8c481908390c2dcff4e856b |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:32 p.m.