Triple
T22622683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eerste Divisie |
E558325
|
entity |
| Predicate | hasPeriodTitles |
P148958
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Eerste Divisie, hasPeriodTitles, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeriodTitles Context triple: [Eerste Divisie, hasPeriodTitles, yes]
-
A.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
-
B.
hasHistoricTitles
Indicates that an entity possesses or has been associated with one or more titles, ranks, or designations of historical significance.
-
C.
hasTitleSince
Indicates that an entity has held a particular title continuously starting from a specified point in time.
-
D.
hadTitleSystem
Indicates that an entity possessed or was associated with a particular title within a specified system of titles.
-
E.
hasInterimTitleOccasionally
Indicates that an entity temporarily holds a specific title or position on an occasional or non-continuous basis.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3ad6f48190b351a52e4b1d9b2d |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3 p.m.