Triple
T14732603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iserlohn |
E346114
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object |
Kalthof
Kalthof is a district of the city of Iserlohn in North Rhine-Westphalia, Germany.
|
E1116780
|
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: Kalthof | Statement: [Iserlohn, hasCityDistrict, Kalthof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalthof Context triple: [Iserlohn, hasCityDistrict, Kalthof]
-
A.
Rothrist
Rothrist is a municipality in the canton of Aargau in northern Switzerland, known for its location along major transport routes and its mix of residential and industrial areas.
-
B.
Vandelhelm
Vandelhelm is a planet in the Star Wars universe known for its industrial significance and location within the Anoat sector of the Outer Rim Territories.
-
C.
Helevorn
Helevorn is a dark, mountain-ringed lake in J.R.R. Tolkien’s legendarium, located in the northeastern region of Beleriand near the stronghold of the Dwarves of Belegost.
-
D.
Schilde
Schilde is a municipality in the Belgian province of Antwerp, known as an affluent residential area with green surroundings and villa neighborhoods.
-
E.
Riesgraf
Riesgraf is the surname of American actress Beth Riesgraf, best known for her role as Parker on the television series "Leverage."
- 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: Kalthof Triple: [Iserlohn, hasCityDistrict, Kalthof]
Generated description
Kalthof is a district of the city of Iserlohn in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalthof Target entity description: Kalthof is a district of the city of Iserlohn in North Rhine-Westphalia, Germany.
-
A.
Rothrist
Rothrist is a municipality in the canton of Aargau in northern Switzerland, known for its location along major transport routes and its mix of residential and industrial areas.
-
B.
Vandelhelm
Vandelhelm is a planet in the Star Wars universe known for its industrial significance and location within the Anoat sector of the Outer Rim Territories.
-
C.
Helevorn
Helevorn is a dark, mountain-ringed lake in J.R.R. Tolkien’s legendarium, located in the northeastern region of Beleriand near the stronghold of the Dwarves of Belegost.
-
D.
Schilde
Schilde is a municipality in the Belgian province of Antwerp, known as an affluent residential area with green surroundings and villa neighborhoods.
-
E.
Riesgraf
Riesgraf is the surname of American actress Beth Riesgraf, best known for her role as Parker on the television series "Leverage."
- 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_69fdfb8bcc188190901e3f692fd8fbf9 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfe396bb48190ade10c757a3a7e5e |
completed | May 8, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfeb5d08081908ff0fdbc489fc985 |
completed | May 8, 2026, 3:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.