Triple
T10102849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fogão |
E216243
|
entity |
| Predicate | clubSection |
P90551
|
FINISHED |
| Object | football department |
—
|
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: football department | Statement: [Fogão, clubSection, football department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubSection Context triple: [Fogão, clubSection, football department]
-
A.
club
Indicates that an entity is a member of, affiliated with, or participates in the activities of a particular club or organized group.
-
B.
clubScope
chosen
Indicates that something is within the organizational, functional, or contextual scope of a particular club.
-
C.
collectionSection
Indicates a relationship where a collection is divided into or associated with a specific section or subdivision within it.
-
D.
mainClub2
Indicates that an entity serves as the primary or main club associated with another entity (such as a person, player, or organization).
-
E.
clubStructure
Indicates that there exists an organizational or hierarchical structure defining roles, relationships, and governance within a club.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09af07c819099774af46ebf62d7 |
completed | April 2, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:02 p.m.