Triple
T1306528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laws of the Game (association football) |
E27890
|
entity |
| Predicate | firstCodified |
P18861
|
FINISHED |
| Object | 1863 |
—
|
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: 1863 | Statement: [Laws of the Game (association football), firstCodified, 1863]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCodified Context triple: [Laws of the Game (association football), firstCodified, 1863]
-
A.
timeOfCodification
chosen
Indicates the specific point in time at which something (such as a rule, law, or concept) was formally codified or recorded.
-
B.
codifiedIn
Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
-
C.
firstClearlyAttestedIn
Indicates the earliest known point in time or source where something is clearly documented or evidenced.
-
D.
firstStandardized
Indicates that an entity is the earliest or primary instance to which a standard or uniform specification has been first applied among comparable entities.
-
E.
firstConstitutedIn
Indicates the time or context in which an entity (such as an organization, body, or structure) was originally formed or formally established.
- 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.