Triple
T29571863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiser-Wilhelm-Kanal |
E753334
|
entity |
| Predicate | originalOfficialName |
P8201
|
FINISHED |
| Object | Kaiser-Wilhelm-Kanal |
—
|
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: Kaiser-Wilhelm-Kanal | Statement: [Kaiser-Wilhelm-Kanal, originalOfficialName, Kaiser-Wilhelm-Kanal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalOfficialName Context triple: [Kaiser-Wilhelm-Kanal, originalOfficialName, Kaiser-Wilhelm-Kanal]
-
A.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
B.
firstOfficialName
chosen
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
-
C.
officialNameGivenBy
Indicates that an official or formal name has been assigned to an entity by a specific authority or source.
-
D.
formerOfficialNameOf
Indicates that one entity was previously the official name of another entity before a renaming or reclassification.
-
E.
laterOfficialName
Indicates that an entity was known by one name at an earlier time and was officially renamed to a different name at a later time.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ffa9677be08190852c8ef6c2545fed |
completed | May 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69ffa6570e2c8190a9d7b37f12b91d9a |
completed | May 9, 2026, 9:25 p.m. |
Created at: April 28, 2026, 5:59 p.m.