Triple
T19881262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consulado station |
E477776
|
entity |
| Predicate | line5OpeningContext |
P137687
|
FINISHED |
| Object | later integrated with Line 5 |
—
|
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: later integrated with Line 5 | Statement: [Consulado station, line5OpeningContext, later integrated with Line 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: line5OpeningContext Context triple: [Consulado station, line5OpeningContext, later integrated with Line 5]
-
A.
lineOpeningContext
Indicates the contextual situation or circumstances present at the moment a line (e.g., of dialogue, text, or code) begins.
-
B.
line5OpeningDate
Indicates the date on which line 5 was first opened or began operation.
-
C.
line3OpeningSegment
Indicates that something is the initial or opening segment of a third line in a sequence or structure.
-
D.
line6OpeningSegment
Indicates that something is the initial segment or portion of the sixth line in a sequence or structure.
-
E.
lineContext
Indicates the contextual relationship between a specific line (e.g., in text, code, or dialogue) and its surrounding lines or situational setting.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658df3f5c81909b5b290de91b8d50 |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.