Triple
T19337725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anazarbus |
E483663
|
entity |
| Predicate | renamedAs |
P65
|
FINISHED |
| Object | Justinopolis |
—
|
NE NERFINISHED |
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: Justinopolis | Statement: [Anazarbus, renamedAs, Justinopolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justinopolis Context triple: [Anazarbus, renamedAs, Justinopolis]
-
A.
Justinopolis
chosen
Justinopolis is the later Roman and Byzantine-era name of the ancient city of Anazarbus in Cilicia, located in what is now southern Turkey.
-
B.
Dynapolis
Dynapolis is a conceptual dynamic city model that envisions an urban environment designed for continuous growth, adaptation, and transformation over time.
-
C.
Arcadiopolis
Arcadiopolis was an important Byzantine city in Thrace that served as a regional administrative and military center.
-
D.
Albertopolis
Albertopolis is the South Kensington cultural and educational district in London, developed in the Victorian era around institutions like museums and colleges inspired by Prince Albert’s vision for arts and science.
-
E.
Tinopolis
Tinopolis is the nickname of the Welsh town of Llanelli, historically renowned for its large tinplate industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61646e89081908c9f1d2cf557672c |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.