Triple
T35574656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl-Benz-Haus |
E1028041
|
entity |
| Predicate | occupantInThePast |
P7727
|
FINISHED |
| Object | Carl Benz |
—
|
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: Carl Benz | Statement: [Carl-Benz-Haus, occupantInThePast, Carl Benz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupantInThePast Context triple: [Carl-Benz-Haus, occupantInThePast, Carl Benz]
-
A.
formerOccupant
chosen
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
B.
historicResident
Indicates that an entity lived or resided in a place during a historically significant period or in the past.
-
C.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
D.
historicalPresence
Indicates that an entity existed, was active, or had a notable presence in a particular place or context during a past time period.
-
E.
timePeriodOfEarlierOccupation
Indicates that one entity specifies the time span during which another entity was previously occupied or held a position before a later occupation.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.