Triple
T10333267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komtur |
E242930
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Komptur
Komptur is an alternative spelling of "Komtur," a historical title used for a commander or head of a local administrative unit in medieval military orders such as the Teutonic Knights.
|
E856572
|
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: Komptur | Statement: [Komtur, hasVariantForm, Komptur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komptur Context triple: [Komtur, hasVariantForm, Komptur]
-
A.
Puter
Puter is one of the main regional dialects of the Romansh language, traditionally spoken in parts of the Engadine valley in Switzerland.
-
B.
Compo
Compo is a scruffy, mischievous character from the long-running British sitcom "Last of the Summer Wine," known for his unkempt appearance and comic antics.
-
C.
Iputinga
Iputinga is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
D.
Poros
Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
-
E.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
- 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: Komptur Triple: [Komtur, hasVariantForm, Komptur]
Generated description
Komptur is an alternative spelling of "Komtur," a historical title used for a commander or head of a local administrative unit in medieval military orders such as the Teutonic Knights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Komptur Target entity description: Komptur is an alternative spelling of "Komtur," a historical title used for a commander or head of a local administrative unit in medieval military orders such as the Teutonic Knights.
-
A.
Puter
Puter is one of the main regional dialects of the Romansh language, traditionally spoken in parts of the Engadine valley in Switzerland.
-
B.
Compo
Compo is a scruffy, mischievous character from the long-running British sitcom "Last of the Summer Wine," known for his unkempt appearance and comic antics.
-
C.
Iputinga
Iputinga is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
D.
Poros
Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
-
E.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc2b5a081908d700c5e199e24a7 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75054515081908240f985f8b6e2df |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d75184cd1c81909e86153bbb516d4f |
completed | April 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7521f0d1c81909f9ae3b46981cdbc |
completed | April 9, 2026, 7:15 a.m. |
Created at: April 6, 2026, 11:53 a.m.