Triple
T10934294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taverny |
E258288
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Mömbris
Mömbris is a small market town in the Aschaffenburg district of Bavaria, Germany, known for its rural character and location in the Kahlgrund region.
|
E893728
|
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: Mömbris | Statement: [Taverny, hasTwinTown, Mömbris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mömbris Context triple: [Taverny, hasTwinTown, Mömbris]
-
A.
Smohain
Smohain is a small hamlet in Belgium notable for its proximity to key sites on the Waterloo battlefield.
-
B.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
C.
Marsum
Marsum is a small village in the northern Netherlands, located in the province of Groningen within the municipality of Eemsdelta.
-
D.
Sombreffe
Sombreffe is a municipality in the Walloon region of Belgium, historically notable for its proximity to key Napoleonic battlefields, including Ligny and Quatre Bras.
-
E.
Morrough
Morrough is a variant spelling of the given name Morrow, used as a personal name.
- 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: Mömbris Triple: [Taverny, hasTwinTown, Mömbris]
Generated description
Mömbris is a small market town in the Aschaffenburg district of Bavaria, Germany, known for its rural character and location in the Kahlgrund region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mömbris Target entity description: Mömbris is a small market town in the Aschaffenburg district of Bavaria, Germany, known for its rural character and location in the Kahlgrund region.
-
A.
Smohain
Smohain is a small hamlet in Belgium notable for its proximity to key sites on the Waterloo battlefield.
-
B.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
C.
Marsum
Marsum is a small village in the northern Netherlands, located in the province of Groningen within the municipality of Eemsdelta.
-
D.
Sombreffe
Sombreffe is a municipality in the Walloon region of Belgium, historically notable for its proximity to key Napoleonic battlefields, including Ligny and Quatre Bras.
-
E.
Morrough
Morrough is a variant spelling of the given name Morrow, used as a personal name.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ae073881909720febe9f5f296a |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2176328448190bbce6735ec97507a |
completed | April 17, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69e21d8aea2881908ac8f5225b8739c5 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21eb18a1881908ded331db89063ed |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 8, 2026, 9:23 p.m.