Triple
T14732599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iserlohn |
E346114
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object |
Kesbern
Kesbern is a district of the German city of Iserlohn in the state of North Rhine-Westphalia.
|
E1117926
|
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: Kesbern | Statement: [Iserlohn, hasCityDistrict, Kesbern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kesbern Context triple: [Iserlohn, hasCityDistrict, Kesbern]
-
A.
Kesbewa
Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
-
B.
Keșerü
Keșerü is a Romanian surname most notably borne by professional footballer Claudiu Keșerü.
-
C.
Kehre
Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
-
D.
Kebemer
Kebemer is a town in northwestern Senegal that historically served as an important administrative center in the former Wolof kingdom of Cayor.
-
E.
Kerki
Kerki is a town in eastern Turkmenistan situated on the Amu Darya River, historically known as a regional trading and transport hub.
- 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: Kesbern Triple: [Iserlohn, hasCityDistrict, Kesbern]
Generated description
Kesbern is a district of the German city of Iserlohn in the state of North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kesbern Target entity description: Kesbern is a district of the German city of Iserlohn in the state of North Rhine-Westphalia.
-
A.
Kesbewa
Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
-
B.
Keșerü
Keșerü is a Romanian surname most notably borne by professional footballer Claudiu Keșerü.
-
C.
Kehre
Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
-
D.
Kebemer
Kebemer is a town in northwestern Senegal that historically served as an important administrative center in the former Wolof kingdom of Cayor.
-
E.
Kerki
Kerki is a town in eastern Turkmenistan situated on the Amu Darya River, historically known as a regional trading and transport hub.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb89ea388190b356df74e36023f7 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfdd73dcc8190bd0340b2f2a2c54a |
completed | May 8, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfe70e03481909eb9a9bf863f826b |
completed | May 8, 2026, 3:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.