Triple
T1690874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Women's European Championship |
E36544
|
entity |
| Predicate | governingBodyLanguage |
P31378
|
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: [UEFA Women's European Championship, governingBodyLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingBodyLanguage Context triple: [UEFA Women's European Championship, governingBodyLanguage, English]
-
A.
governingBody2
Indicates that an entity serves as the official authority or administrative body responsible for overseeing, managing, or regulating another entity.
-
B.
governingBodyInvolvement
Indicates the extent or manner in which a governing body participates in, oversees, or influences a particular activity, decision, or entity.
-
C.
governingBodyOfType
Indicates that an entity serves as the official governing body for another entity of a specified type or category.
-
D.
executiveBody
Indicates that an entity serves as the executive governing authority or decision-making body for another entity.
-
E.
governingBodyExample
Indicates that the subject entity serves as an example or instance of a governing body for the object entity.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf33347e48190a32b6d0099e3d389 |
completed | March 6, 2026, 3:30 p.m. |
Created at: March 4, 2026, 7:29 p.m.