Triple
T5349128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauro |
E124129
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Naples |
E14805
|
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: Naples | Statement: [Lauro, locatedNear, Naples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naples Context triple: [Lauro, locatedNear, Naples]
-
A.
Naples
chosen
Naples is a historic coastal city in southern Italy renowned for its rich cultural heritage, vibrant street life, and as the birthplace of pizza.
-
B.
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.
-
C.
Neapoli
Neapoli is a small town in eastern Crete, Greece, known for its traditional architecture and role as a local administrative and cultural center.
-
D.
Palermo
Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
-
E.
Palermo
Palermo is the historic capital of Sicily, renowned for its rich multicultural heritage, including a significant medieval Jewish presence, and its blend of Arab-Norman architecture, vibrant markets, and coastal setting.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860ea7088190ad7be14132927d17 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21c20364819093387aa0e60b4291 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 2:01 p.m.