Triple
T35620195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feira da Ladra |
E1029288
|
entity |
| Predicate | openingDaysPerWeek |
P192177
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Feira da Ladra, openingDaysPerWeek, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingDaysPerWeek Context triple: [Feira da Ladra, openingDaysPerWeek, 2]
-
A.
daysOfOperation
Indicates the specific days on which an entity (such as a service, facility, or operation) is active or functioning.
-
B.
openAllDays
Indicates that the entity operates or is available every day of the week without closing on any day.
-
C.
openingHoursCharacteristic
Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
-
D.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
E.
plannedOpeningPeriod
Indicates the time span during which something is scheduled or intended to open or begin operating.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
| PDg | Predicate description generation | batch_69fcf82405c88190a19cecf8e9cc272d |
completed | May 7, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:05 p.m.