Triple
T5057080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flavia Neapolis |
E113927
|
entity |
| Predicate | hasGreekName |
P3659
|
FINISHED |
| Object | Νεάπολις |
E396647
|
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: Νεάπολις | Statement: [Flavia Neapolis, hasGreekName, Νεάπολις]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Νεάπολις Context triple: [Flavia Neapolis, hasGreekName, Νεάπολις]
-
A.
Neapoli
chosen
Neapoli is a small town in eastern Crete, Greece, known for its traditional architecture and role as a local administrative and cultural center.
-
B.
Naples
Naples is a historic coastal city in southern Italy renowned for its rich cultural heritage, vibrant street life, and as the birthplace of pizza.
-
C.
Nápoles
Nápoles is a middle- to upper-class residential and commercial neighborhood in Mexico City, known for its modern architecture, the World Trade Center complex, and a mix of offices, restaurants, and apartment buildings.
-
D.
Parla
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
-
E.
Pisa
Pisa is a historic Italian city in Tuscany best known for its iconic Leaning Tower and as a significant center of medieval trade, learning, and architecture.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7450312881908d4e3576ca65f7fb |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea48cc7b88190a9ea43f79b0a0cf0 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.