Triple
T10670975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt skyline |
E251483
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tower 185
Tower 185 is a prominent high-rise office building in Frankfurt am Main, Germany, known for its distinctive architecture and role in shaping the city’s modern financial district skyline.
|
E879572
|
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: Tower 185 | Statement: [Frankfurt skyline, hasPart, Tower 185]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower 185 Context triple: [Frankfurt skyline, hasPart, Tower 185]
-
A.
Tower Fifty-eight
Tower Fifty-eight is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
B.
Tower Fifty-nine
Tower Fifty-nine is one of the defensive towers incorporated into the historic medieval city walls of York, England.
-
C.
Tower Fifty-one
Tower Fifty-one is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
D.
Tower Seventy-six
Tower Seventy-six is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
E.
Tower Fifty-four
Tower Fifty-four is one of the defensive towers incorporated into the historic medieval city walls of York, England.
- 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: Tower 185 Triple: [Frankfurt skyline, hasPart, Tower 185]
Generated description
Tower 185 is a prominent high-rise office building in Frankfurt am Main, Germany, known for its distinctive architecture and role in shaping the city’s modern financial district skyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tower 185 Target entity description: Tower 185 is a prominent high-rise office building in Frankfurt am Main, Germany, known for its distinctive architecture and role in shaping the city’s modern financial district skyline.
-
A.
Tower Fifty-eight
Tower Fifty-eight is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
B.
Tower Fifty-nine
Tower Fifty-nine is one of the defensive towers incorporated into the historic medieval city walls of York, England.
-
C.
Tower Fifty-one
Tower Fifty-one is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
D.
Tower Seventy-six
Tower Seventy-six is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
-
E.
Tower Fifty-four
Tower Fifty-four is one of the defensive towers incorporated into the historic medieval city walls of York, England.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f86390648190851693aedce6b7ad |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98865f700819093c8cadc6fcef75f |
completed | April 10, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d98ae8403c81908a229aa06bd0388a |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98ce9ba0c8190a7c62fa670e23705 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:09 p.m.