Triple
T8105117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superclásico (Boca vs River) |
E189207
|
entity |
| Predicate | firstMeetingCentury |
P15335
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Superclásico (Boca vs River), firstMeetingCentury, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingCentury Context triple: [Superclásico (Boca vs River), firstMeetingCentury, 20th century]
-
A.
firstMeets
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
B.
originalCentury
chosen
Indicates the century in which something was originally created, produced, or came into existence.
-
C.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
D.
firstMeetingYear
Indicates the calendar year in which two entities first met or had their initial encounter.
-
E.
firstHermitSettlementCentury
Indicates the century during which the first hermit settlement associated with a given entity was established.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42c0ce6481909887be82c8019383 |
completed | March 31, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69cb04a2ed1c8190b73562321ad688bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:31 p.m.