Triple
T28452625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza de Mayo station |
E716617
|
entity |
| Predicate | partOfHistoricSection |
P100950
|
FINISHED |
| Object | original 1913 section of Line A |
—
|
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: original 1913 section of Line A | Statement: [Plaza de Mayo station, partOfHistoricSection, original 1913 section of Line A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfHistoricSection Context triple: [Plaza de Mayo station, partOfHistoricSection, original 1913 section of Line A]
-
A.
partOfHistoricalArea
Indicates that one entity is located within or belongs to a designated historical area or heritage zone.
-
B.
partOfHistoricalStructure
Indicates that one entity is a component, section, or element belonging to a larger historical structure.
-
C.
historicalSectionOf
chosen
Indicates that one entity is a historically defined part or subdivision of another entity, typically within a larger historical context or periodization.
-
D.
locatedInHistoricSite
Indicates that an entity is situated within or on the grounds of a place officially recognized as a historic site.
-
E.
historicalSection
Indicates that one entity is a section, part, or subdivision of another entity specifically in a historical or past version of its structure or organization.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 28, 2026, 1:52 a.m.