Triple
T21918439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodrum Castle |
E541240
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
German Tower
German Tower is a historic defensive tower within Bodrum Castle in Turkey, originally built and used by German knights of the Knights Hospitaller.
|
E1508116
|
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: German Tower | Statement: [Bodrum Castle, hasPart, German Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German Tower Context triple: [Bodrum Castle, hasPart, German Tower]
-
A.
Roter Turm
Roter Turm is a historic clock and bell tower in Halle (Saale), Germany, and one of the city’s most recognizable architectural landmarks.
-
B.
Roter Turm
Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
-
C.
Storchenturm
Storchenturm is a historic tower and notable architectural landmark in the town of Gernsbach, Germany.
-
D.
Blaserturm
Blaserturm is a historic medieval watch and bell tower that serves as one of the most recognizable symbols of the German city of Ravensburg.
-
E.
Humberg Tower
Humberg Tower is a historic observation tower on the Humberg hill near Kaiserslautern in Germany, known for its panoramic views over the surrounding Palatinate region.
- 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: German Tower Triple: [Bodrum Castle, hasPart, German Tower]
Generated description
German Tower is a historic defensive tower within Bodrum Castle in Turkey, originally built and used by German knights of the Knights Hospitaller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: German Tower Target entity description: German Tower is a historic defensive tower within Bodrum Castle in Turkey, originally built and used by German knights of the Knights Hospitaller.
-
A.
Roter Turm
Roter Turm is a historic clock and bell tower in Halle (Saale), Germany, and one of the city’s most recognizable architectural landmarks.
-
B.
Roter Turm
Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
-
C.
Storchenturm
Storchenturm is a historic tower and notable architectural landmark in the town of Gernsbach, Germany.
-
D.
Blaserturm
Blaserturm is a historic medieval watch and bell tower that serves as one of the most recognizable symbols of the German city of Ravensburg.
-
E.
Humberg Tower
Humberg Tower is a historic observation tower on the Humberg hill near Kaiserslautern in Germany, known for its panoramic views over the surrounding Palatinate region.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233924008190923724d0c0f2d435 |
completed | April 28, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a5a13f09c819088b50585423a1835 |
completed | May 18, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_6a0a5a967d28819084a37207e17d4f68 |
completed | May 18, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5b24f6708190bfe903dceb0e9210 |
completed | May 18, 2026, 12:19 a.m. |
Created at: April 16, 2026, 7:44 p.m.