Triple
T3789323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goeree-Overflakkee |
E89605
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Krammer |
E13954
|
NE FINISHED |
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: [Goeree-Overflakkee, borderedBy, Krammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krammer Context triple: [Goeree-Overflakkee, borderedBy, 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.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
-
C.
Krall
Krall is the main antagonist in the film "Star Trek Beyond," a former Starfleet officer transformed into a vengeful alien warlord who seeks to destroy the Federation.
-
D.
Kru
Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
-
E.
Krassner
Krassner is the family name of Lee Krasner, the influential American abstract expressionist painter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76570b481909c26d47a3251b180 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05326dc81909a4523c8f2062c25 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:15 p.m.