Triple
T27983406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groß St. Martin |
E706681
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Alter Markt (Old Market) in Cologne
Alter Markt (Old Market) in Cologne is a historic central square in the city’s Old Town, known for its traditional houses, lively pubs and restaurants, and role as a focal point for events such as the Cologne Carnival.
|
E1798123
|
NE FINISHED |
How this triple was built (2 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: Alter Markt (Old Market) in Cologne | Statement: [Groß St. Martin, locatedNear, Alter Markt (Old Market) in Cologne]
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: Alter Markt (Old Market) in Cologne Triple: [Groß St. Martin, locatedNear, Alter Markt (Old Market) in Cologne]
Generated description
Alter Markt (Old Market) in Cologne is a historic central square in the city’s Old Town, known for its traditional houses, lively pubs and restaurants, and role as a focal point for events such as the Cologne Carnival.
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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b6b234881909e582775a40f3fb3 |
completed | May 2, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a13117f169081908aefbd87f94b2d0a |
completed | May 24, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a1312211af88190ab84fc43b748a93e |
completed | May 24, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a13148cc15c8190928bfe77917e4176 |
completed | May 24, 2026, 3:09 p.m. |
Created at: April 27, 2026, 7:46 p.m.