Triple
T10911893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trutnov |
E257720
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Old Town Hall
Old Town Hall is a historic municipal building and prominent architectural landmark located in the Czech town of Trutnov.
|
E892737
|
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: Old Town Hall | Statement: [Trutnov, hasLandmark, Old Town Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Town Hall Context triple: [Trutnov, hasLandmark, Old Town Hall]
-
A.
Old Town Hall
Old Town Hall is a historic municipal building and notable architectural landmark located in the city center of Koszalin, Poland.
-
B.
Old Town Hall
Old Town Hall is a historic municipal building in Thorn renowned for its architectural and cultural significance.
-
C.
Old Town Hall
Old Town Hall is a historic civic building in downtown Salem, Massachusetts, known for its Federal-style architecture and role as a cultural and community gathering space.
-
D.
Old Town Hall
Old Town Hall is a historic municipal building in Sandown, New Hampshire, that once served as the town’s primary center for local government and community gatherings.
-
E.
Old Town Hall
Old Town Hall is a historic medieval town hall complex in Regensburg, Germany, known for its Gothic architecture and former role as a seat of the Imperial Diet of the Holy Roman 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: Old Town Hall Triple: [Trutnov, hasLandmark, Old Town Hall]
Generated description
Old Town Hall is a historic municipal building and prominent architectural landmark located in the Czech town of Trutnov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Town Hall Target entity description: Old Town Hall is a historic municipal building and prominent architectural landmark located in the Czech town of Trutnov.
-
A.
Old Town Hall
Old Town Hall is a historic medieval building complex in the center of Bratislava that now serves as a city museum and prominent architectural landmark.
-
B.
Old Town Hall
Old Town Hall is a historic municipal building and notable architectural landmark located in the city center of Koszalin, Poland.
-
C.
Old Town Hall
Old Town Hall is a historic municipal building in Thorn renowned for its architectural and cultural significance.
-
D.
Old Town Hall
Old Town Hall is a historic municipal building and notable landmark in the town of Norden, Germany.
-
E.
Old Town Hall
Old Town Hall is a historic medieval town hall complex in Regensburg, Germany, known for its Gothic architecture and former role as a seat of the Imperial Diet of the Holy Roman 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155550e388190bd441ac3a9dde435 |
completed | April 16, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69e1801eaa048190a5e8822b3da1077c |
completed | April 17, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1831f8a6c819084bde8f71371cf8e |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 8, 2026, 9:22 p.m.