Triple
T15523870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Trezeguet |
E369033
|
entity |
| Predicate | euroYear |
P119015
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [David Trezeguet, euroYear, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: euroYear Context triple: [David Trezeguet, euroYear, 2000]
-
A.
adoptedEuro
Indicates that a country or entity has officially adopted the euro as its legal currency.
-
B.
euroDebut
Indicates the event or relationship in which an entity makes its first appearance or participation in a European competition or context.
-
C.
peggedToEuroSince
Indicates that the value of one currency or financial instrument has been fixed or tightly linked to the euro starting from a specific point in time.
-
D.
euroParticipation
Indicates that an entity takes part in or is involved with the Euro currency system or Eurozone monetary framework.
-
E.
euroTitle
Indicates that an entity holds or is associated with a European title, such as a championship, honor, or official designation within a European context.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57165288190979b7acb71ad5145 |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 4:05 a.m.