Triple
T15922265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open de France |
E386120
|
entity |
| Predicate | previousTypicalMonthPlayed |
P54653
|
FINISHED |
| Object | June |
—
|
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: June | Statement: [Open de France, previousTypicalMonthPlayed, June]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTypicalMonthPlayed Context triple: [Open de France, previousTypicalMonthPlayed, June]
-
A.
occasionallyPlayedInMonth
Indicates that an entity is played or used intermittently or on some, but not all, occasions within a given month.
-
B.
monthPlayed
Indicates the month during which an activity, event, or game was played or took place.
-
C.
previousMonthOfOccurrence
chosen
Indicates that one time period is the month immediately preceding the month in which a specified event or occurrence takes place.
-
D.
typicalMonthOfOccurrence
Indicates the month in which something most commonly or typically occurs.
-
E.
previousPeriod
Indicates that one time period directly precedes another in a sequence of periods.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.