Triple
T2806633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calabria |
E54068
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Reggio Calabria |
E140141
|
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: Reggio Calabria | Statement: [Calabria, largestCity, Reggio Calabria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reggio Calabria Context triple: [Calabria, largestCity, Reggio Calabria]
-
A.
Reggio Calabria
chosen
Reggio Calabria is a historic coastal city in the Calabria region, known as the largest urban center at the tip of Italy’s “boot” facing Sicily across the Strait of Messina.
-
B.
Catanzaro
Catanzaro is a city in southern Italy known as an administrative and cultural center overlooking the Ionian Sea.
-
C.
Messina
Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
-
D.
Taranto
Taranto is a historic coastal city in southern Italy known as a major naval and commercial hub and for its strategic position on the Gulf of Taranto.
-
E.
Salerno
Salerno is a historic port city in southern Italy, known for its strategic role in World War II Allied landings and its position on the Tyrrhenian Sea near the Amalfi Coast.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde165a448190aa2728ec074daf88 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08639b9108190badd8d22aaf74544 |
completed | March 10, 2026, 8:59 p.m. |
Created at: March 6, 2026, 9:59 p.m.