Triple
T28755969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piedras station |
E731672
|
entity |
| Predicate | partOfOpeningSectionOf |
P180347
|
FINISHED |
| Object | Line A |
—
|
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: Line A | Statement: [Piedras station, partOfOpeningSectionOf, Line A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfOpeningSectionOf Context triple: [Piedras station, partOfOpeningSectionOf, Line A]
-
A.
fullOpeningSection
Indicates that one entity constitutes the complete initial section or introductory part of another entity.
-
B.
partialOpeningSection
chosen
Indicates that one entity constitutes only a portion or segment of the initial or opening section of another entity.
-
C.
originalOpeningSection
Indicates that one section is the initial or first opening section of another work, document, or structured content.
-
D.
isOpeningSectionOf
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
-
E.
openedSectionBetween
Indicates that one entity has created or established an open section, gap, or interval between itself and another entity.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: April 28, 2026, 6:09 a.m.