Triple
T10670978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt skyline |
E251483
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Skyper
Skyper is a prominent high-rise office and residential complex in Frankfurt am Main, Germany, known for its distinctive modern glass architecture.
|
E879670
|
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: Skyper | Statement: [Frankfurt skyline, hasPart, Skyper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skyper Context triple: [Frankfurt skyline, hasPart, Skyper]
-
A.
SkyHawk
SkyHawk is Seagate’s specialized line of hard disk drives designed for surveillance systems, optimized for continuous 24/7 video recording and high reliability.
-
B.
Kestrelflyer
Kestrelflyer is the frequent-flyer loyalty program of Air Mauritius, offering rewards and benefits to regular passengers of the airline.
-
C.
Skyhawk
Skyhawk is the athletic mascot representing the University of Tennessee at Martin’s sports teams.
-
D.
Skyhawk
Skyhawk is the athletic mascot representing Navajo Technical University’s sports teams and school spirit.
-
E.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
- 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: Skyper Triple: [Frankfurt skyline, hasPart, Skyper]
Generated description
Skyper is a prominent high-rise office and residential complex in Frankfurt am Main, Germany, known for its distinctive modern glass architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skyper Target entity description: Skyper is a prominent high-rise office and residential complex in Frankfurt am Main, Germany, known for its distinctive modern glass architecture.
-
A.
SkyHawk
SkyHawk is Seagate’s specialized line of hard disk drives designed for surveillance systems, optimized for continuous 24/7 video recording and high reliability.
-
B.
Kestrelflyer
Kestrelflyer is the frequent-flyer loyalty program of Air Mauritius, offering rewards and benefits to regular passengers of the airline.
-
C.
Skyhawk
Skyhawk is the athletic mascot representing the University of Tennessee at Martin’s sports teams.
-
D.
Skyhawk
Skyhawk is the athletic mascot representing Navajo Technical University’s sports teams and school spirit.
-
E.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
- 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_69d9886e3f108190bb6f17d4e2f394ef |
completed | April 10, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d98cdf6f0c8190a5b926c439c1aca6 |
completed | April 10, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98d5557548190a22102f1c8105e6f |
completed | April 10, 2026, 11:52 p.m. |
Created at: April 8, 2026, 9:09 p.m.