Triple
T12635330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zafferana Etnea |
E301746
|
entity |
| Predicate | hasRegionCapital |
P16248
|
FINISHED |
| Object | Palermo |
E76466
|
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: Palermo | Statement: [Zafferana Etnea, hasRegionCapital, Palermo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palermo Context triple: [Zafferana Etnea, hasRegionCapital, Palermo]
-
A.
Palermo
Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
-
B.
Palermo
chosen
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.
-
C.
Palermo
Palermo is a municipality in the Huila Department of southern Colombia, known for its agricultural activities and proximity to the departmental capital, Neiva.
-
D.
Palermo
Palermo is a 90 nm, low-power, budget-oriented core used in AMD's Sempron line of processors.
-
E.
Messina
Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610fab488190ac6e6d5cf056ae37 |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c5a9dc881909b695f7e87dfcdf6 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:16 p.m.