Triple
T21538138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eendracht |
E531405
|
entity |
| Predicate | connectedViaLocksTo |
P144148
|
FINISHED |
| Object | Krammer |
—
|
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: Krammer | Statement: [Eendracht, connectedViaLocksTo, Krammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krammer Context triple: [Eendracht, connectedViaLocksTo, Krammer]
-
A.
Krammer
chosen
Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
-
B.
Kram
Kram is an actor known for appearing in the film "Who’s the Man?".
-
C.
Krassato
Krassato is a Greek red wine grape variety traditionally grown in the Rapsani region and commonly blended with other local grapes to produce structured, age-worthy wines.
-
D.
Krasker
Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
-
E.
Kramm
Kramm is a German surname most notably borne by the popular schlager singer Heino.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0fdf448190b47ac7c28904f86b |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.