Triple
T1306398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FA Trophy |
E27887
|
entity |
| Predicate | languageOfCompetitionName |
P11654
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [FA Trophy, languageOfCompetitionName, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCompetitionName Context triple: [FA Trophy, languageOfCompetitionName, English]
-
A.
languageOfCompetition
chosen
Indicates the language in which a competition is conducted or officially presented.
-
B.
nicknameOfCompetition
Indicates that one name is an informal or alternative nickname used to refer to a particular competition.
-
C.
originalCompetitionName
Indicates the name of the competition as it was originally titled or first known, before any later changes or rebranding.
-
D.
languageOfEvent
Indicates the language in which an event is conducted, presented, or communicated.
-
E.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.