Triple
T19689649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AC Monza |
E472800
|
entity |
| Predicate | firstSerieAPromotion |
P136932
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [AC Monza, firstSerieAPromotion, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSerieAPromotion Context triple: [AC Monza, firstSerieAPromotion, 2022]
-
A.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
-
B.
firstSeriesTitle
Indicates the title of the first series in which the subject (such as a work, character, or franchise) appears or to which it belongs.
-
C.
firstSeriesCode
Indicates that an entity is identified as the initial or primary series within a sequence, referenced by a specific code.
-
D.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
-
E.
firstPartSeries
Indicates that one entity is the initial installment or beginning segment in a series of related entities.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420f1a0c8190ae59aa0ab3ff2802 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:45 p.m.