Triple
T32461814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seconda Categoria |
E829593
|
entity |
| Predicate | positionInItalianLeaguePyramid |
P101018
|
FINISHED |
| Object | near bottom |
—
|
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: near bottom | Statement: [Seconda Categoria, positionInItalianLeaguePyramid, near bottom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInItalianLeaguePyramid Context triple: [Seconda Categoria, positionInItalianLeaguePyramid, near bottom]
-
A.
chartPositionItaly
Indicates the position or ranking of something on a music or sales chart specifically within Italy.
-
B.
partOfFootballPyramid
Indicates that one entity belongs to, or is included within, the hierarchical structure of football leagues or competitions associated with another entity.
-
C.
goalsInSerieA
Indicates the number of goals an entity has scored in Serie A matches.
-
D.
featuredItalianClub
Indicates that an Italian club is highlighted or given special prominence in a particular context or collection.
-
E.
locatedInLeagueStructure
chosen
Indicates that an entity occupies a specific position or level within an organized league’s hierarchical structure.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 1, 2026, 12:57 a.m.