Triple
T14810793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morocco national football team |
E348171
|
entity |
| Predicate | chanTitleYear |
P115819
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Morocco national football team, chanTitleYear, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chanTitleYear Context triple: [Morocco national football team, chanTitleYear, 2018]
-
A.
titleYear
Indicates the specific year associated with the release, publication, or official designation of a given title.
-
B.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
-
C.
seriesYear
Indicates the year in which a series (such as a TV show, book series, or event series) is released, set, or primarily associated.
-
D.
yearTitleCreated
Indicates the year in which the referenced title (such as a work, document, or creative piece) was originally created.
-
E.
broadcastYear
Indicates the year in which something (typically a program or content) was originally broadcast.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:46 a.m.