Triple
T13343777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Inkwil |
E317892
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Inkwil
Inkwil is a small municipality in the canton of Bern, Switzerland, known for its proximity to the scenic Lake Inkwil.
|
E1035607
|
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: Inkwil | Statement: [Lake Inkwil, locatedNear, Inkwil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inkwil Context triple: [Lake Inkwil, locatedNear, Inkwil]
-
A.
Nym
Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
-
B.
Waterkeyn
Waterkeyn is a Belgian surname most notably associated with engineer André Waterkeyn, designer of Brussels’ iconic Atomium.
-
C.
Cloudesley
Cloudesley is a lesser-known 1830 novel by William Godwin that explores themes of inheritance, identity, and moral responsibility within a Gothic-influenced narrative.
-
D.
Shibboleth
Shibboleth is a biblical term that came to signify a word or custom used to distinguish members of one group from outsiders, often with life-or-death consequences.
-
E.
Jamnik
Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
- 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: Inkwil Triple: [Lake Inkwil, locatedNear, Inkwil]
Generated description
Inkwil is a small municipality in the canton of Bern, Switzerland, known for its proximity to the scenic Lake Inkwil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inkwil Target entity description: Inkwil is a small municipality in the canton of Bern, Switzerland, known for its proximity to the scenic Lake Inkwil.
-
A.
Nym
Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
-
B.
Waterkeyn
Waterkeyn is a Belgian surname most notably associated with engineer André Waterkeyn, designer of Brussels’ iconic Atomium.
-
C.
Cloudesley
Cloudesley is a lesser-known 1830 novel by William Godwin that explores themes of inheritance, identity, and moral responsibility within a Gothic-influenced narrative.
-
D.
Shibboleth
Shibboleth is a biblical term that came to signify a word or custom used to distinguish members of one group from outsiders, often with life-or-death consequences.
-
E.
Jamnik
Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8839b48190b164414b418e756c |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f417e4081908ab2025a313bfad1 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221887208190ac98945a023bc496 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:31 p.m.