Triple
T4691699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festas de Santo António |
E104047
|
entity |
| Predicate | peakDay |
P58829
|
FINISHED |
| Object | Feast day of Saint Anthony |
—
|
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: Feast day of Saint Anthony | Statement: [Festas de Santo António, peakDay, Feast day of Saint Anthony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakDay Context triple: [Festas de Santo António, peakDay, Feast day of Saint Anthony]
-
A.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
B.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
C.
peakUse
Indicates the time, condition, or context in which something reaches its maximum level of use or intensity.
-
D.
peakType
Indicates the specific classification or category of a peak based on its form, prominence, or other defining characteristics.
-
E.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd660414b08190ab37467755d383b5 |
completed | March 20, 2026, 3:21 p.m. |
Created at: March 20, 2026, 1:16 p.m.