Triple
T13802746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preussag AG |
E331680
|
entity |
| Predicate | mainActivityIn1990s |
P111527
|
FINISHED |
| Object | tourism |
—
|
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: tourism | Statement: [Preussag AG, mainActivityIn1990s, tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainActivityIn1990s Context triple: [Preussag AG, mainActivityIn1990s, tourism]
-
A.
statusDuring1990s
Indicates the status or condition that held for an entity throughout some or all of the 1990s time period.
-
B.
statusIn1990
Indicates the status or condition that an entity had specifically in the year 1990.
-
C.
statusBefore1990s
Indicates the condition or state that an entity had prior to the 1990s.
-
D.
after1990LocatedIn
Indicates that one entity was located within or inside the other entity at some point after the year 1990.
-
E.
screenDebutDecade
Indicates the decade during which an entity first appeared on screen (e.g., in film or television).
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:12 p.m.