Triple
T6349857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Ligero Line ML2 |
E142840
|
entity |
| Predicate | isPartially |
P70125
|
FINISHED |
| Object | at-grade |
—
|
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: at-grade | Statement: [Metro Ligero Line ML2, isPartially, at-grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartially Context triple: [Metro Ligero Line ML2, isPartially, at-grade]
-
A.
partiallyCorrespondsTo
Indicates that one entity matches or aligns with another entity only in some aspects, segments, or components, rather than fully or exactly.
-
B.
partiallyCompleted
Indicates that an action, process, or task has been started and progressed to some extent, but has not yet been fully completed.
-
C.
partiallySupportedBy
Indicates that something receives incomplete, limited, or not fully sufficient support from another entity.
-
D.
partiallyPreserved
Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
-
E.
partiallyHosts
Indicates that an entity provides hosting or accommodation for another entity to some extent, but not fully or exclusively.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bcec2c8190bb383605847b0f0b |
completed | March 22, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:31 p.m.