Triple
T6685445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corner kick |
E152088
|
entity |
| Predicate | introducedInLaws |
P72176
|
FINISHED |
| Object | Late 19th century |
—
|
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: Late 19th century | Statement: [Corner kick, introducedInLaws, Late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInLaws Context triple: [Corner kick, introducedInLaws, Late 19th century]
-
A.
introducedByLaw
Indicates that something (such as a rule, measure, or change) came into effect or was established as a result of a specific law being enacted.
-
B.
numberOfLaws
Indicates the quantitative count of laws associated with a given entity or context.
-
C.
legislatedUnder
Indicates that a law, regulation, or policy was created, enacted, or established according to the authority, framework, or provisions of a specific higher-level law or legal regime.
-
D.
introducedInLegislatureBy
Indicates that a piece of legislation was formally presented or sponsored in a legislative body by a specific legislator or legislative entity.
-
E.
legislatedOn
Indicates that a legislative body has formally considered, debated, or enacted laws or regulations concerning a particular subject or 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cd0d939081908ede0bb6ce19f559 |
completed | March 27, 2026, 6:31 p.m. |
Created at: March 27, 2026, 2:04 p.m.