Triple
T33503693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onze de Setembre |
E858059
|
entity |
| Predicate | mainCityEvents |
P80637
|
FINISHED |
| Object | Barcelona city center |
—
|
NE NERFINISHED |
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: Barcelona city center | Statement: [Onze de Setembre, mainCityEvents, Barcelona city center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCityEvents Context triple: [Onze de Setembre, mainCityEvents, Barcelona city center]
-
A.
mainCityCelebrations
Indicates that major celebratory events or festivities are held in or associated with a particular main city.
-
B.
mainEventCity
chosen
Indicates the city in which the primary or main event takes place.
-
C.
associatedCityEvent
Indicates a relationship where a city is linked to, involved in, or serves as the location for a particular event.
-
D.
timeOfDayMainEvents
Indicates the primary time(s) of day during which the main events or activities occur.
-
E.
localFestivities
Indicates that certain celebrations, events, or cultural activities are taking place within a specific local area or community.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:38 a.m.