Triple
T26023196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon Lions Stand |
E647210
|
entity |
| Predicate | associatedCountryOfVictory |
P18319
|
FINISHED |
| Object | Portugal |
—
|
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: Portugal | Statement: [Lisbon Lions Stand, associatedCountryOfVictory, Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCountryOfVictory Context triple: [Lisbon Lions Stand, associatedCountryOfVictory, Portugal]
-
A.
countryOfVictoriousSide
Indicates the country to which the winning or victorious side in a conflict, competition, or contest belongs.
-
B.
countryOfDefeatedSide
Indicates the country to which the losing or defeated side in a conflict, competition, or confrontation belongs.
-
C.
countryWinningWar
Indicates that a specified country emerges as the victor over another party in a particular war or armed conflict.
-
D.
winnerCountry
chosen
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
E.
winningCountryFirstVictory
Indicates that the country achieved its first-ever victory in the specified competition, event, or context.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: April 22, 2026, 9:04 a.m.