Triple
T6583149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petkum |
E157349
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Knock
Knock is a locality in Lower Saxony, Germany, known for its coastal setting on the North Sea near the village of Petkum and the city of Emden.
|
E605279
|
NE FINISHED |
How this triple was built (4 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: Knock | Statement: [Petkum, locatedNear, Knock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knock Context triple: [Petkum, locatedNear, Knock]
-
A.
Knock
Knock is an Irish village in County Mayo renowned as a major Catholic pilgrimage site following reported Marian apparitions in 1879.
-
B.
Knockout
Knockout is a lightweight JavaScript library that enables dynamic, data-driven user interfaces using the Model-View-ViewModel (MVVM) pattern.
-
C.
Knock Me Out
"Knock Me Out" is a rock-influenced song by singer-songwriter and producer Linda Perry, showcasing her emotive vocals and introspective lyricism.
-
D.
Knock on Wood
Knock on Wood is a 1954 comedy film starring Danny Kaye as a ventriloquist entangled in international espionage and romantic misadventures.
-
E.
Shout
"Shout" is a classic 1959 rhythm and blues song by The Isley Brothers that became an enduring party anthem and pop culture staple.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Knock Triple: [Petkum, locatedNear, Knock]
Generated description
Knock is a locality in Lower Saxony, Germany, known for its coastal setting on the North Sea near the village of Petkum and the city of Emden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Knock Target entity description: Knock is a locality in Lower Saxony, Germany, known for its coastal setting on the North Sea near the village of Petkum and the city of Emden.
-
A.
Knock
Knock is an Irish village in County Mayo renowned as a major Catholic pilgrimage site following reported Marian apparitions in 1879.
-
B.
Knockout
Knockout is a lightweight JavaScript library that enables dynamic, data-driven user interfaces using the Model-View-ViewModel (MVVM) pattern.
-
C.
Knock Me Out
"Knock Me Out" is a rock-influenced song by singer-songwriter and producer Linda Perry, showcasing her emotive vocals and introspective lyricism.
-
D.
Knock on Wood
Knock on Wood is a 1954 comedy film starring Danny Kaye as a ventriloquist entangled in international espionage and romantic misadventures.
-
E.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
- F. None of above. chosen
Provenance (5 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae938184819088234aad9cc997e1 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d572c4708190844f4b1abee8ca86 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d9817b708190a3a66d40996cf2a1 |
completed | March 27, 2026, 7:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6daaa4be88190a07823df9427d2d5 |
completed | March 27, 2026, 7:29 p.m. |
Created at: March 27, 2026, 1:54 p.m.