Triple
T29089139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitución – General Urquiza |
E734207
|
entity |
| Predicate | partOfEarlySegmentOf |
P13843
|
FINISHED |
| Object | Buenos Aires Underground Line E |
—
|
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: Buenos Aires Underground Line E | Statement: [Constitución – General Urquiza, partOfEarlySegmentOf, Buenos Aires Underground Line E]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfEarlySegmentOf Context triple: [Constitución – General Urquiza, partOfEarlySegmentOf, Buenos Aires Underground Line E]
-
A.
appearsInSegmentOf
Indicates that one entity occurs within, or is featured as part of, a specific segment or subsection of another entity.
-
B.
formsInitialSegmentOf
chosen
Indicates that one entity constitutes the starting portion or beginning segment of another, larger entity or sequence.
-
C.
intendedSegment
Indicates that one entity is the target or designated recipient segment for another entity (such as a message, offer, or action).
-
D.
earlySegmentType
Indicates that a segment occurs in the early portion or initial phase of a larger sequence, process, or structure.
-
E.
precededBySegment
Indicates that one segment occurs immediately before another segment in a sequence or ordering.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: April 28, 2026, 11:03 a.m.