Triple
T1342583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ionia |
E28498
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Colophon |
E105620
|
NE FINISHED |
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: Colophon | Statement: [Ionia, majorCity, Colophon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colophon Context triple: [Ionia, majorCity, Colophon]
-
A.
Colophon
chosen
Colophon was an ancient Ionian Greek city in western Asia Minor, historically notable as one of the places claimed as the birthplace of the poet Homer.
-
B.
Tabula Bantina
Tabula Bantina is an ancient bronze tablet bearing one of the most important surviving inscriptions in the Oscan language, recording laws of a Samnite community in southern Italy.
-
C.
Codex
Codex is an AI system developed by OpenAI that translates natural language into code and powers tools like GitHub Copilot.
-
D.
Catholicon
The Catholicon is the large central nave and main Greek Orthodox worship space within Jerusalem’s Church of the Holy Sepulchre.
-
E.
Kelmscott
Kelmscott is a small rural village in Oxfordshire, England, best known for its association with the designer and writer William Morris and the historic Kelmscott Manor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2174d048190a6e9380df302265f |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc632cbc88190a64897f1b101c699 |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:56 p.m.