Triple
T20571661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lordship of Gemen |
E505112
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Gemen
Gemen is a historic town in western Germany, now part of Borken in North Rhine-Westphalia, known for its medieval castle and former status as the seat of the Lordship of Gemen.
|
E1439080
|
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: Gemen | Statement: [Lordship of Gemen, capital, Gemen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemen Context triple: [Lordship of Gemen, capital, Gemen]
-
A.
Gemenon
Gemenon is one of the Twelve Colonies of Kobol in the Battlestar Galactica universe, known for its strong religious culture and traditionalist society.
-
B.
Gemini
Gemini is a prominent zodiac constellation in the northern sky, best known for its twin stars Castor and Pollux.
-
C.
Gemini
"Gemini" is a jazz album by pianist and composer Erroll Garner, showcasing his distinctive, lyrical improvisational style.
-
D.
Gemini
Gemini is an American rapper known for his collaborations with Lupe Fiasco and contributions to Chicago's hip-hop scene.
-
E.
Gemini
Gemini is a U.S.-based cryptocurrency exchange and custodian known for its regulatory compliance and secure digital asset trading platform.
- 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: Gemen Triple: [Lordship of Gemen, capital, Gemen]
Generated description
Gemen is a historic town in western Germany, now part of Borken in North Rhine-Westphalia, known for its medieval castle and former status as the seat of the Lordship of Gemen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gemen Target entity description: Gemen is a historic town in western Germany, now part of Borken in North Rhine-Westphalia, known for its medieval castle and former status as the seat of the Lordship of Gemen.
-
A.
Gemenon
Gemenon is one of the Twelve Colonies of Kobol in the Battlestar Galactica universe, known for its strong religious culture and traditionalist society.
-
B.
Gemini
Gemini is a prominent zodiac constellation in the northern sky, best known for its twin stars Castor and Pollux.
-
C.
Gemini
"Gemini" is a jazz album by pianist and composer Erroll Garner, showcasing his distinctive, lyrical improvisational style.
-
D.
Gemini
Gemini is a U.S.-based cryptocurrency exchange and custodian known for its regulatory compliance and secure digital asset trading platform.
-
E.
Gemini
Gemini is a digital media brand owned by Oath Inc. (now part of Verizon Media), associated with its portfolio of online content and services.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a905b1288190bbad9aa14362bb97 |
completed | April 20, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ace448d48190a2a225a3cb4b5cf5 |
completed | May 16, 2026, 5:44 p.m. |
| NEDg | Description generation | batch_6a08ae5320d08190b8ce6fbe4909af18 |
completed | May 16, 2026, 5:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08aed4a9908190bf7bd5f0147ff6f2 |
completed | May 16, 2026, 5:52 p.m. |
Created at: April 16, 2026, 11:39 a.m.