Triple
T8311161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isauria |
E194592
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Germanicopolis
Germanicopolis was an ancient city located in the region of Isauria in Asia Minor, known from the Roman and Byzantine periods.
|
E726480
|
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: Germanicopolis | Statement: [Isauria, hasCity, Germanicopolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germanicopolis Context triple: [Isauria, hasCity, Germanicopolis]
-
A.
Quadratestadt
Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
-
B.
Hemfurth
Hemfurth is a village in central Germany best known for its proximity to the historic Eder Dam and the Edersee reservoir.
-
C.
Vetus Urbs
Vetus Urbs is the ancient core district of the Roman city of Italica, encompassing its earliest urban remains and historic center.
-
D.
Metropolia
Metropolia was the former name of the Russian Orthodox Greek Catholic Church of America, the predecessor body that evolved into today’s Orthodox Church in America.
-
E.
Dorian Hexapolis
Dorian Hexapolis was a confederation of six ancient Dorian Greek cities that formed a religious and political league centered around shared cults and festivals.
- 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: Germanicopolis Triple: [Isauria, hasCity, Germanicopolis]
Generated description
Germanicopolis was an ancient city located in the region of Isauria in Asia Minor, known from the Roman and Byzantine periods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Germanicopolis Target entity description: Germanicopolis was an ancient city located in the region of Isauria in Asia Minor, known from the Roman and Byzantine periods.
-
A.
Quadratestadt
Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
-
B.
Hemfurth
Hemfurth is a village in central Germany best known for its proximity to the historic Eder Dam and the Edersee reservoir.
-
C.
Vetus Urbs
Vetus Urbs is the ancient core district of the Roman city of Italica, encompassing its earliest urban remains and historic center.
-
D.
Metropolia
Metropolia was the former name of the Russian Orthodox Greek Catholic Church of America, the predecessor body that evolved into today’s Orthodox Church in America.
-
E.
Dorian Hexapolis
Dorian Hexapolis was a confederation of six ancient Dorian Greek cities that formed a religious and political league centered around shared cults and festivals.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2eecb08190ae0ba8adbaf58c8f |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd956f01748190a0db22ef68126bee |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cdb20e46b881908d3c6b177e206e50 |
completed | April 2, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb654a2348190a41a6aebf96d8ea6 |
completed | April 2, 2026, 12:20 a.m. |
Created at: March 30, 2026, 5:54 p.m.