Triple
T38237649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilfinger Berger SE |
E1013666
|
entity |
| Predicate | SEMeaning |
P190194
|
FINISHED |
| Object | Societas Europaea |
—
|
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: Societas Europaea | Statement: [Bilfinger Berger SE, SEMeaning, Societas Europaea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SEMeaning Context triple: [Bilfinger Berger SE, SEMeaning, Societas Europaea]
-
A.
S1Meaning
Indicates that the first subject (S1) conveys or expresses a particular meaning or sense.
-
B.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
C.
S2Meaning
Indicates a semantic relationship where one entity conveys, expresses, or represents the meaning or sense of another entity.
-
D.
S0Meaning
Indicates that something conveys, expresses, or represents a particular meaning or sense.
-
E.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.