Triple
T27925619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adidas Finale Paris |
E707823
|
entity |
| Predicate | cityOfFinal |
P2684
|
FINISHED |
| Object | Saint-Denis |
—
|
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: Saint-Denis | Statement: [Adidas Finale Paris, cityOfFinal, Saint-Denis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfFinal Context triple: [Adidas Finale Paris, cityOfFinal, Saint-Denis]
-
A.
finalCity
chosen
Indicates that a given city is the last or ultimate city associated with an entity within a sequence, process, or journey.
-
B.
firstFinalCity
Indicates that a city is the final destination reached first in some ordered sequence of trips or routes.
-
C.
lostCityTo
Indicates that one entity ceased to have control or possession of a city in favor of another entity.
-
D.
cityOfReference
Indicates that one entity serves as the primary or official city associated with, or used as a reference point for, another entity.
-
E.
destinationCity
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 6:59 p.m.