Triple
T36374874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altenwerder |
E895870
|
entity |
| Predicate | hasFacilityOperator |
P4904
|
FINISHED |
| Object | Hamburger Hafen und Logistik AG (via CTA) |
—
|
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: Hamburger Hafen und Logistik AG (via CTA) | Statement: [Altenwerder, hasFacilityOperator, Hamburger Hafen und Logistik AG (via CTA)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacilityOperator Context triple: [Altenwerder, hasFacilityOperator, Hamburger Hafen und Logistik AG (via CTA)]
-
A.
hasCampOperator
Indicates that a camp is operated or managed by a specific operator or organization.
-
B.
operatesFacility
chosen
Indicates that an entity is responsible for running, managing, or controlling the operations of a particular facility.
-
C.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
D.
hasParkOperator
Indicates that a park is operated or managed by a specific organization or individual.
-
E.
hasFacilityFunction
Indicates that a facility performs, supports, or is designated for a particular function or operational role.
- 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:10 p.m.